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2020 – today
- 2024
[c223]Benjamin Heinzerling, Kentaro Inui:
Monotonic Representation of Numeric Attributes in Language Models. ACL (Short Papers) 2024: 175-195- [c222]Haruto Yoshida, Keito Kudo, Yoichi Aoki, Ryota Tanaka, Itsumi Saito, Keisuke Sakaguchi, Kentaro Inui:
How Well Do Vision Models Encode Diagram Attributes? ACL (Student Research Workshop) 2024: 564-575 - [c221]Shiki Sato, Reina Akama, Jun Suzuki, Kentaro Inui:
A Large Collection of Model-generated Contradictory Responses for Consistency-aware Dialogue Systems. ACL (Findings) 2024: 16047-16062 - [c220]Masato Mita, Keisuke Sakaguchi, Masato Hagiwara, Tomoya Mizumoto, Jun Suzuki, Kentaro Inui:
Towards Automated Document Revision: Grammatical Error Correction, Fluency Edits, and Beyond. BEA 2024: 251-265 - [c219]Yukiko Ishizuki, Tatsuki Kuribayashi, Yuichiroh Matsubayashi, Ryohei Sasano, Kentaro Inui:
To Drop or Not to Drop? Predicting Argument Ellipsis Judgments: A Case Study in Japanese. LREC/COLING 2024: 16198-16210 - [c218]Naoki Miura, Hiroaki Funayama, Seiya Kikuchi, Yuichiroh Matsubayashi, Yuya Iwase, Kentaro Inui:
Japanese-English Sentence Translation Exercises Dataset for Automatic Grading. EACL (Student Research Workshop) 2024: 266-278 - [c217]Goro Kobayashi, Tatsuki Kuribayashi, Sho Yokoi, Kentaro Inui:
Analyzing Feed-Forward Blocks in Transformers through the Lens of Attention Maps. ICLR 2024 - [i97]Kosuke Matsuzaki, Masaya Taniguchi, Kentaro Inui, Keisuke Sakaguchi:
J-UniMorph: Japanese Morphological Annotation through the Universal Feature Schema. CoRR abs/2402.14411 (2024) - [i96]Naoki Miura, Hiroaki Funayama, Seiya Kikuchi, Yuichiroh Matsubayashi, Yuya Iwase, Kentaro Inui:
Japanese-English Sentence Translation Exercises Dataset for Automatic Grading. CoRR abs/2403.03396 (2024) - [i95]Benjamin Heinzerling
, Kentaro Inui:
Monotonic Representation of Numeric Properties in Language Models. CoRR abs/2403.10381 (2024) - [i94]Shiki Sato, Reina Akama, Jun Suzuki, Kentaro Inui:
A Large Collection of Model-generated Contradictory Responses for Consistency-aware Dialogue Systems. CoRR abs/2403.12500 (2024) - [i93]Yukiko Ishizuki, Tatsuki Kuribayashi, Yuichiroh Matsubayashi, Ryohei Sasano, Kentaro Inui:
To Drop or Not to Drop? Predicting Argument Ellipsis Judgments: A Case Study in Japanese. CoRR abs/2404.11315 (2024) - [i92]Ana Brassard, Benjamin Heinzerling, Keito Kudo, Keisuke Sakaguchi, Kentaro Inui:
ACORN: Aspect-wise Commonsense Reasoning Explanation Evaluation. CoRR abs/2405.04818 (2024) - [i91]Ryosuke Takahashi, Go Kamoda, Benjamin Heinzerling, Keisuke Sakaguchi, Kentaro Inui:
The Curse of Popularity: Popular Entities have Catastrophic Side Effects when Deleting Knowledge from Language Models. CoRR abs/2406.06032 (2024) - [i90]Irfan Robbani, Paul Reisert, Naoya Inoue, Surawat Pothong, Camélia Guerraoui, Wenzhi Wang, Shoichi Naito, Jungmin Choi, Kentaro Inui:
Flee the Flaw: Annotating the Underlying Logic of Fallacious Arguments Through Templates and Slot-filling. CoRR abs/2406.12402 (2024) - [i89]Yoichi Aoki, Keito Kudo, Tatsuki Kuribayashi, Shusaku Sone, Masaya Taniguchi, Keisuke Sakaguchi, Kentaro Inui:
First Heuristic Then Rational: Dynamic Use of Heuristics in Language Model Reasoning. CoRR abs/2406.16078 (2024) - [i88]Hiroaki Funayama, Yuya Asazuma, Yuichiroh Matsubayashi, Tomoya Mizumoto, Kentaro Inui:
Reducing the Cost: Cross-Prompt Pre-Finetuning for Short Answer Scoring. CoRR abs/2408.13966 (2024) - [i87]Yunmeng Li, Jun Suzuki, Makoto Morishita, Kaori Abe, Kentaro Inui:
An Investigation of Warning Erroneous Chat Translations in Cross-lingual Communication. CoRR abs/2408.15543 (2024) - [i86]Yunmeng Li, Jun Suzuki, Makoto Morishita, Kaori Abe, Kentaro Inui:
MQM-Chat: Multidimensional Quality Metrics for Chat Translation. CoRR abs/2408.16390 (2024) - [i85]Qin Dai, Benjamin Heinzerling, Kentaro Inui:
Representational Analysis of Binding in Large Language Models. CoRR abs/2409.05448 (2024) - 2023
- [j29]Shoji Moriya, Daiki Shiono, Riki Fujihara, Yosuke Kishinami, Subaru Kimura, Shusaku Sone, Reina Akama, Yuta Matsumoto, Jun Suzuki, Kentaro Inui:
Aoba_v3 bot: a multimodal chatbot system combining rules and various response generation models. Adv. Robotics 37(21): 1392-1405 (2023) - [j28]Shota Sasaki, Benjamin Heinzerling, Jun Suzuki, Kentaro Inui:
Examining the effect of whitening on static and contextualized word embeddings. Inf. Process. Manag. 60(3): 103272 (2023) - [c216]Haruki Nagasawa, Benjamin Heinzerling, Kazuma Kokuta, Kentaro Inui:
Can LMs Store and Retrieve 1-to-N Relational Knowledge? ACL (student) 2023: 130-138 - [c215]Goro Kobayashi, Tatsuki Kuribayashi, Sho Yokoi, Kentaro Inui:
Transformer Language Models Handle Word Frequency in Prediction Head. ACL (Findings) 2023: 4523-4535 - [c214]Hiroaki Funayama, Yuya Asazuma, Yuichiroh Matsubayashi, Tomoya Mizumoto, Kentaro Inui:
Reducing the Cost: Cross-Prompt Pre-finetuning for Short Answer Scoring. AIED 2023: 78-89 - [c213]Camélia Guerraoui, Paul Reisert, Naoya Inoue, Farjana Sultana Mim, Keshav Singh, Jungmin Choi, Irfan Robbani, Shoichi Naito, Wenzhi Wang, Kentaro Inui:
Teach Me How to Argue: A Survey on NLP Feedback Systems in Argumentation. ArgMining@EMNLP 2023: 19-34 - [c212]Yuko Tanaka, Miwa Inuzuka, Hiromi Arai, Yoichi Takahashi, Minao Kukita, Kentaro Inui:
Who Does Not Benefit from Fact-checking Websites?: A Psychological Characteristic Predicts the Selective Avoidance of Clicking Uncongenial Facts. CHI 2023: 664:1-664:17 - [c211]Yuko Tanaka, Hiromi Arai, Miwa Inuzuka, Yoichi Takahashi, Minao Kukita, Kentaro Inui:
Fight Bias with Bias? Two Interventions for Mitigating the Selective Avoidance of Clicking Uncongenial Facts. CogSci 2023 - [c210]Yoichi Aoki, Keito Kudo, Tatsuki Kuribayashi, Ana Brassard, Masashi Yoshikawa, Keisuke Sakaguchi, Kentaro Inui:
Empirical Investigation of Neural Symbolic Reasoning Strategies. EACL (Findings) 2023: 1124-1132 - [c209]Keito Kudo, Yoichi Aoki, Tatsuki Kuribayashi, Ana Brassard, Masashi Yoshikawa, Keisuke Sakaguchi, Kentaro Inui:
Do Deep Neural Networks Capture Compositionality in Arithmetic Reasoning? EACL 2023: 1343-1354 - [c208]Pride Kavumba, Ana Brassard, Benjamin Heinzerling, Kentaro Inui:
Prompting for explanations improves Adversarial NLI. Is this true? Yes it is true because it weakens superficial cues. EACL (Findings) 2023: 2120-2135 - [c207]Go Kamoda, Benjamin Heinzerling, Keisuke Sakaguchi, Kentaro Inui:
Test-time Augmentation for Factual Probing. EMNLP (Findings) 2023: 3650-3661 - [c206]Hiroto Kurita, Goro Kobayashi, Sho Yokoi, Kentaro Inui:
Contrastive Learning-based Sentence Encoders Implicitly Weight Informative Words. EMNLP (Findings) 2023: 10932-10947 - [c205]Ikumi Ito, Takumi Ito, Jun Suzuki, Kentaro Inui:
Investigating the Effectiveness of Multiple Expert Models Collaboration. EMNLP (Findings) 2023: 14393-14404 - [c204]Yuya Asazuma, Hiroaki Funayama, Yuichiroh Matsubayashi, Tomoya Mizumoto, Paul Reisert, Kentaro Inui:
Take No Shortcuts! Stick to the Rubric: A Method for Building Trustworthy Short Answer Scoring Models. HELMeTO 2023: 337-358 - [c203]Jungo Kasai, Keisuke Sakaguchi, Yoichi Takahashi, Ronan Le Bras, Akari Asai, Xinyan Yu, Dragomir Radev, Noah A. Smith, Yejin Choi, Kentaro Inui:
RealTime QA: What's the Answer Right Now? NeurIPS 2023 - [c202]Hiroto Kurita, Ikumi Ito, Hiroaki Funayama, Shota Sasaki, Shoji Moriya, Mengyu Ye, Kazuma Kokuta, Ryujin Hatakeyama, Shusaku Sone, Kentaro Inui:
TohokuNLP at SemEval-2023 Task 5: Clickbait Spoiling via Simple Seq2Seq Generation and Ensembling. SemEval@ACL 2023: 1756-1762 - [c201]Takumi Ito, Naomi Yamashita, Tatsuki Kuribayashi, Masatoshi Hidaka, Jun Suzuki, Ge Gao, Jack Jamieson, Kentaro Inui:
Use of an AI-powered Rewriting Support Software in Context with Other Tools: A Study of Non-Native English Speakers. UIST 2023: 45:1-45:13 - [i84]Yuta Matsumoto, Benjamin Heinzerling, Masashi Yoshikawa, Kentaro Inui:
Tracing and Manipulating Intermediate Values in Neural Math Problem Solvers. CoRR abs/2301.06758 (2023) - [i83]Goro Kobayashi, Tatsuki Kuribayashi, Sho Yokoi, Kentaro Inui:
Feed-Forward Blocks Control Contextualization in Masked Language Models. CoRR abs/2302.00456 (2023) - [i82]Keito Kudo, Yoichi Aoki, Tatsuki Kuribayashi, Ana Brassard, Masashi Yoshikawa, Keisuke Sakaguchi, Kentaro Inui:
Do Deep Neural Networks Capture Compositionality in Arithmetic Reasoning? CoRR abs/2302.07866 (2023) - [i81]Yoichi Aoki, Keito Kudo, Tatsuki Kuribayashi, Ana Brassard, Masashi Yoshikawa, Keisuke Sakaguchi, Kentaro Inui:
Empirical Investigation of Neural Symbolic Reasoning Strategies. CoRR abs/2302.08148 (2023) - [i80]Goro Kobayashi, Tatsuki Kuribayashi, Sho Yokoi, Kentaro Inui:
Transformer Language Models Handle Word Frequency in Prediction Head. CoRR abs/2305.18294 (2023) - [i79]Camélia Guerraoui, Paul Reisert, Naoya Inoue, Farjana Sultana Mim, Shoichi Naito, Jungmin Choi, Irfan Robbani, Wenzhi Wang, Kentaro Inui:
Teach Me How to Improve My Argumentation Skills: A Survey on Feedback in Argumentation. CoRR abs/2307.15341 (2023) - [i78]Yunmeng Li, Jun Suzuki, Makoto Morishita, Kaori Abe, Ryoko Tokuhisa, Ana Brassard, Kentaro Inui:
Chat Translation Error Detection for Assisting Cross-lingual Communications. CoRR abs/2308.01044 (2023) - [i77]Hiroto Kurita, Goro Kobayashi, Sho Yokoi, Kentaro Inui:
Contrastive Learning-based Sentence Encoders Implicitly Weight Informative Words. CoRR abs/2310.15921 (2023) - [i76]Go Kamoda, Benjamin Heinzerling, Keisuke Sakaguchi, Kentaro Inui:
Test-time Augmentation for Factual Probing. CoRR abs/2310.17121 (2023) - 2022
- [c200]Tasuku Sato, Hiroaki Funayama, Kazuaki Hanawa, Kentaro Inui:
Plausibility and Faithfulness of Feature Attribution-Based Explanations in Automated Short Answer Scoring. AIED (1) 2022: 231-242 - [c199]Hiroaki Funayama, Tasuku Sato, Yuichiroh Matsubayashi, Tomoya Mizumoto, Jun Suzuki, Kentaro Inui:
Balancing Cost and Quality: An Exploration of Human-in-the-Loop Frameworks for Automated Short Answer Scoring. AIED (1) 2022: 465-476 - [c198]Yosuke Kishinami, Reina Akama, Shiki Sato, Ryoko Tokuhisa, Jun Suzuki, Kentaro Inui:
Target-Guided Open-Domain Conversation Planning. COLING 2022: 660-668 - [c197]Riki Fujihara, Tatsuki Kuribayashi, Kaori Abe, Ryoko Tokuhisa, Kentaro Inui:
Topicalization in Language Models: A Case Study on Japanese. COLING 2022: 851-862 - [c196]Shuhei Kurita, Hiroki Ouchi, Kentaro Inui, Satoshi Sekine:
Iterative Span Selection: Self-Emergence of Resolving Orders in Semantic Role Labeling. COLING 2022: 5383-5397 - [c195]Qin Dai, Benjamin Heinzerling, Kentaro Inui:
Cross-stitching Text and Knowledge Graph Encoders for Distantly Supervised Relation Extraction. EMNLP 2022: 6947-6958 - [c194]Tatsuki Kuribayashi, Yohei Oseki, Ana Brassard, Kentaro Inui:
Context Limitations Make Neural Language Models More Human-Like. EMNLP 2022: 10421-10436 - [c193]Kaori Abe, Sho Yokoi, Tomoyuki Kajiwara, Kentaro Inui:
Why is sentence similarity benchmark not predictive of application-oriented task performance? Eval4NLP 2022: 70-87 - [c192]Yunmeng Li, Jun Suzuki, Makoto Morishita, Kaori Abe, Ryoko Tokuhisa, Ana Brassard, Kentaro Inui:
Chat Translation Error Detection for Assisting Cross-lingual Communications. Eval4NLP 2022: 88-95 - [c191]Farjana Sultana Mim, Naoya Inoue, Shoichi Naito, Keshav Singh, Kentaro Inui:
LPAttack: A Feasible Annotation Scheme for Capturing Logic Pattern of Attacks in Arguments. LREC 2022: 2446-2459 - [c190]Ana Brassard, Benjamin Heinzerling, Pride Kavumba, Kentaro Inui:
COPA-SSE: Semi-structured Explanations for Commonsense Reasoning. LREC 2022: 3994-4000 - [c189]Keshav Singh, Naoya Inoue, Farjana Sultana Mim, Shoichi Naitoh, Kentaro Inui:
IRAC: A Domain-Specific Annotated Corpus of Implicit Reasoning in Arguments. LREC 2022: 4674-4683 - [c188]Shoichi Naito, Shintaro Sawada, Chihiro Nakagawa, Naoya Inoue, Kenshi Yamaguchi, Iori Shimizu, Farjana Sultana Mim, Keshav Singh, Kentaro Inui:
TYPIC: A Corpus of Template-Based Diagnostic Comments on Argumentation. LREC 2022: 5916-5928 - [c187]Jungmin Choi, Ukyo Honda, Taro Watanabe, Hiroki Ouchi, Kentaro Inui:
Law Retrieval with Supervised Contrastive Learning Using the Hierarchical Structure of Law. PACLIC 2022: 590-599 - [c186]Shiki Sato, Reina Akama, Hiroki Ouchi, Ryoko Tokuhisa, Jun Suzuki, Kentaro Inui:
N-best Response-based Analysis of Contradiction-awareness in Neural Response Generation Models. SIGDIAL 2022: 637-644 - [i75]Shoichi Naito, Shintaro Sawada, Chihiro Nakagawa, Naoya Inoue, Kenshi Yamaguchi, Iori Shimizu, Farjana Sultana Mim, Keshav Singh, Kentaro Inui:
TYPIC: A Corpus of Template-Based Diagnostic Comments on Argumentation. CoRR abs/2201.06674 (2022) - [i74]Ana Brassard, Benjamin Heinzerling, Pride Kavumba, Kentaro Inui:
COPA-SSE: Semi-structured Explanations for Commonsense Reasoning. CoRR abs/2201.06777 (2022) - [i73]Farjana Sultana Mim, Naoya Inoue, Shoichi Naito, Keshav Singh, Kentaro Inui:
LPAttack: A Feasible Annotation Scheme for Capturing Logic Pattern of Attacks in Arguments. CoRR abs/2204.01512 (2022) - [i72]Tatsuki Kuribayashi, Yohei Oseki, Ana Brassard, Kentaro Inui:
Context Limitations Make Neural Language Models More Human-Like. CoRR abs/2205.11463 (2022) - [i71]Masato Mita, Keisuke Sakaguchi, Masato Hagiwara, Tomoya Mizumoto, Jun Suzuki, Kentaro Inui:
Towards Automated Document Revision: Grammatical Error Correction, Fluency Edits, and Beyond. CoRR abs/2205.11484 (2022) - [i70]Sosuke Kobayashi, Shun Kiyono, Jun Suzuki, Kentaro Inui:
Diverse Lottery Tickets Boost Ensemble from a Single Pretrained Model. CoRR abs/2205.11833 (2022) - [i69]Hiroaki Funayama, Tasuku Sato, Yuichiroh Matsubayashi, Tomoya Mizumoto, Jun Suzuki, Kentaro Inui:
Balancing Cost and Quality: An Exploration of Human-in-the-loop Frameworks for Automated Short Answer Scoring. CoRR abs/2206.08288 (2022) - [i68]Jungo Kasai, Keisuke Sakaguchi, Yoichi Takahashi, Ronan Le Bras, Akari Asai, Xinyan Yu, Dragomir R. Radev, Noah A. Smith, Yejin Choi, Kentaro Inui:
RealTime QA: What's the Answer Right Now? CoRR abs/2207.13332 (2022) - [i67]Shiki Sato, Reina Akama, Hiroki Ouchi, Ryoko Tokuhisa, Jun Suzuki, Kentaro Inui:
N-best Response-based Analysis of Contradiction-awareness in Neural Response Generation Models. CoRR abs/2208.02578 (2022) - [i66]Yosuke Kishinami, Reina Akama, Shiki Sato, Ryoko Tokuhisa, Jun Suzuki, Kentaro Inui:
Target-Guided Open-Domain Conversation Planning. CoRR abs/2209.09746 (2022) - [i65]Qin Dai, Benjamin Heinzerling, Kentaro Inui:
Cross-stitching Text and Knowledge Graph Encoders for Distantly Supervised Relation Extraction. CoRR abs/2211.01432 (2022) - 2021
- [j27]Hiroki Ouchi, Jun Suzuki, Sosuke Kobayashi, Sho Yokoi, Tatsuki Kuribayashi, Masashi Yoshikawa, Kentaro Inui:
Instance-Based Neural Dependency Parsing. Trans. Assoc. Comput. Linguistics 9: 1493-1507 (2021) - [j26]Farjana Sultana Mim, Naoya Inoue, Paul Reisert, Hiroki Ouchi, Kentaro Inui:
Corruption Is Not All Bad: Incorporating Discourse Structure Into Pre-Training via Corruption for Essay Scoring. IEEE ACM Trans. Audio Speech Lang. Process. 29: 2202-2215 (2021) - [j25]Shota Sasaki, Jun Suzuki, Kentaro Inui:
Subword-Based Compact Reconstruction for Open-Vocabulary Neural Word Embeddings. IEEE ACM Trans. Audio Speech Lang. Process. 29: 3551-3564 (2021) - [c185]Hitomi Yanaka, Koji Mineshima, Kentaro Inui:
SyGNS: A Systematic Generalization Testbed Based on Natural Language Semantics. ACL/IJCNLP (Findings) 2021: 103-119 - [c184]Tatsuki Kuribayashi, Yohei Oseki, Takumi Ito, Ryo Yoshida, Masayuki Asahara, Kentaro Inui:
Lower Perplexity is Not Always Human-Like. ACL/IJCNLP (1) 2021: 5203-5217 - [c183]Keshav Singh, Farjana Sultana Mim, Naoya Inoue, Shoichi Naito, Kentaro Inui:
Exploring Methodologies for Collecting High-Quality Implicit Reasoning in Arguments. ArgMining@EMNLP 2021: 57-66 - [c182]Hitomi Yanaka, Koji Mineshima, Kentaro Inui:
Exploring Transitivity in Neural NLI Models through Veridicality. EACL 2021: 920-934 - [c181]Benjamin Heinzerling, Kentaro Inui:
Language Models as Knowledge Bases: On Entity Representations, Storage Capacity, and Paraphrased Queries. EACL 2021: 1772-1791 - [c180]Qin Dai, Naoya Inoue, Ryo Takahashi, Kentaro Inui:
Two Training Strategies for Improving Relation Extraction over Universal Graph. EACL 2021: 3673-3684 - [c179]Shun Kiyono, Sosuke Kobayashi, Jun Suzuki, Kentaro Inui:
SHAPE : Shifted Absolute Position Embedding for Transformers. EMNLP (1) 2021: 3309-3321 - [c178]Ryuto Konno, Shun Kiyono, Yuichiroh Matsubayashi, Hiroki Ouchi, Kentaro Inui:
Pseudo Zero Pronoun Resolution Improves Zero Anaphora Resolution. EMNLP (1) 2021: 3790-3806 - [c177]Kosuke Yamada, Yuta Hitomi, Hideaki Tamori, Ryohei Sasano, Naoaki Okazaki, Kentaro Inui, Koichi Takeda:
Transformer-based Lexically Constrained Headline Generation. EMNLP (1) 2021: 4085-4090 - [c176]Goro Kobayashi, Tatsuki Kuribayashi, Sho Yokoi, Kentaro Inui:
Incorporating Residual and Normalization Layers into Analysis of Masked Language Models. EMNLP (1) 2021: 4547-4568 - [c175]Naoya Inoue, Harsh Trivedi, Steven Sinha, Niranjan Balasubramanian, Kentaro Inui:
Summarize-then-Answer: Generating Concise Explanations for Multi-hop Reading Comprehension. EMNLP (1) 2021: 6064-6080 - [c174]Kazuaki Hanawa, Ryo Nagata, Kentaro Inui:
Exploring Methods for Generating Feedback Comments for Writing Learning. EMNLP (1) 2021: 9719-9730 - [c173]Kazuaki Hanawa, Sho Yokoi, Satoshi Hara, Kentaro Inui:
Evaluation of Similarity-based Explanations. ICLR 2021 - [c172]Pride Kavumba, Benjamin Heinzerling, Ana Brassard, Kentaro Inui:
Learning to Learn to be Right for the Right Reasons. NAACL-HLT 2021: 3890-3898 - [i64]Hitomi Yanaka, Koji Mineshima, Kentaro Inui:
Exploring Transitivity in Neural NLI Models through Veridicality. CoRR abs/2101.10713 (2021) - [i63]Qin Dai, Naoya Inoue, Ryo Takahashi, Kentaro Inui:
Two Training Strategies for Improving Relation Extraction over Universal Graph. CoRR abs/2102.06540 (2021) - [i62]Ryuto Konno, Shun Kiyono, Yuichiroh Matsubayashi, Hiroki Ouchi, Kentaro Inui:
Pseudo Zero Pronoun Resolution Improves Zero Anaphora Resolution. CoRR abs/2104.07425 (2021) - [i61]Keshav Singh, Paul Reisert, Naoya Inoue, Kentaro Inui:
A Comparative Study on Collecting High-Quality Implicit Reasonings at a Large-scale. CoRR abs/2104.07924 (2021) - [i60]Pride Kavumba, Benjamin Heinzerling, Ana Brassard, Kentaro Inui:
Learning to Learn to be Right for the Right Reasons. CoRR abs/2104.11514 (2021) - [i59]Hitomi Yanaka, Koji Mineshima, Kentaro Inui:
SyGNS: A Systematic Generalization Testbed Based on Natural Language Semantics. CoRR abs/2106.01077 (2021) - [i58]Tatsuki Kuribayashi, Yohei Oseki, Takumi Ito, Ryo Yoshida, Masayuki Asahara, Kentaro Inui:
Lower Perplexity is Not Always Human-Like. CoRR abs/2106.01229 (2021) - [i57]Shun Kiyono, Sosuke Kobayashi, Jun Suzuki, Kentaro Inui:
SHAPE: Shifted Absolute Position Embedding for Transformers. CoRR abs/2109.05644 (2021) - [i56]Naoya Inoue, Harsh Trivedi, Steven Sinha, Niranjan Balasubramanian, Kentaro Inui:
Summarize-then-Answer: Generating Concise Explanations for Multi-hop Reading Comprehension. CoRR abs/2109.06853 (2021) - [i55]Kosuke Yamada, Yuta Hitomi, Hideaki Tamori, Ryohei Sasano, Naoaki Okazaki, Kentaro Inui, Koichi Takeda:
Transformer-based Lexically Constrained Headline Generation. CoRR abs/2109.07080 (2021) - [i54]Goro Kobayashi, Tatsuki Kuribayashi, Sho Yokoi, Kentaro Inui:
Incorporating Residual and Normalization Layers into Analysis of Masked Language Models. CoRR abs/2109.07152 (2021) - [i53]Hiroki Ouchi, Jun Suzuki, Sosuke Kobayashi, Sho Yokoi, Tatsuki Kuribayashi, Masashi Yoshikawa, Kentaro Inui:
Instance-Based Neural Dependency Parsing. CoRR abs/2109.13497 (2021) - [i52]Keshav Singh, Naoya Inoue, Farjana Sultana Mim, Shoichi Naitoh, Kentaro Inui:
Annotating Implicit Reasoning in Arguments with Causal Links. CoRR abs/2110.13692 (2021) - 2020
- [j24]Shun Kiyono, Jun Suzuki, Tomoya Mizumoto, Kentaro Inui:
Massive Exploration of Pseudo Data for Grammatical Error Correction. IEEE ACM Trans. Audio Speech Lang. Process. 28: 2134-2145 (2020) - [c171]Saku Sugawara, Pontus Stenetorp, Kentaro Inui, Akiko Aizawa:
Assessing the Benchmarking Capacity of Machine Reading Comprehension Datasets. AAAI 2020: 8918-8927 - [c170]Takuma Kato, Kaori Abe, Hiroki Ouchi, Shumpei Miyawaki, Jun Suzuki, Kentaro Inui:
Embeddings of Label Components for Sequence Labeling: A Case Study of Fine-grained Named Entity Recognition. ACL (student) 2020: 222-229 - [c169]Hiroaki Funayama, Shota Sasaki, Yuichiroh Matsubayashi, Tomoya Mizumoto, Jun Suzuki, Masato Mita, Kentaro Inui:
Preventing Critical Scoring Errors in Short Answer Scoring with Confidence Estimation. ACL (student) 2020: 237-243 - [c168]Tatsuki Kuribayashi, Takumi Ito, Jun Suzuki, Kentaro Inui:
Language Models as an Alternative Evaluator of Word Order Hypotheses: A Case Study in Japanese. ACL 2020: 488-504 - [c167]Shiki Sato, Reina Akama, Hiroki Ouchi, Jun Suzuki, Kentaro Inui:
Evaluating Dialogue Generation Systems via Response Selection. ACL 2020: 593-599 - [c166]Masahiro Kaneko, Masato Mita, Shun Kiyono, Jun Suzuki, Kentaro Inui:
Encoder-Decoder Models Can Benefit from Pre-trained Masked Language Models in Grammatical Error Correction. ACL 2020: 4248-4254 - [c165]Hitomi Yanaka, Koji Mineshima, Daisuke Bekki, Kentaro Inui:
Do Neural Models Learn Systematicity of Monotonicity Inference in Natural Language? ACL 2020: 6105-6117 - [c164]Hiroki Ouchi, Jun Suzuki, Sosuke Kobayashi, Sho Yokoi, Tatsuki Kuribayashi, Ryuto Konno, Kentaro Inui:
Instance-Based Learning of Span Representations: A Case Study through Named Entity Recognition. ACL 2020: 6452-6459 - [c163]Naoya Inoue, Pontus Stenetorp, Kentaro Inui:
R4C: A Benchmark for Evaluating RC Systems to Get the Right Answer for the Right Reason. ACL 2020: 6740-6750 - [c162]Takaki Otake, Sho Yokoi, Naoya Inoue, Ryo Takahashi, Tatsuki Kuribayashi, Kentaro Inui:
Modeling Event Salience in Narratives via Barthes' Cardinal Functions. COLING 2020: 1784-1794 - [c161]Ryuto Konno, Yuichiroh Matsubayashi, Shun Kiyono, Hiroki Ouchi, Ryo Takahashi, Kentaro Inui:
An Empirical Study of Contextual Data Augmentation for Japanese Zero Anaphora Resolution. COLING 2020: 4956-4968 - [c160]Ryo Fujii, Masato Mita, Kaori Abe, Kazuaki Hanawa, Makoto Morishita, Jun Suzuki, Kentaro Inui:
PheMT: A Phenomenon-wise Dataset for Machine Translation Robustness on User-Generated Contents. COLING 2020: 5929-5943 - [c159]Akiko Aizawa, Frédéric Bergéron, Junjie Chen, Fei Cheng, Katsuhiko Hayashi, Kentaro Inui, Hiroyoshi Ito, Daisuke Kawahara, Masaru Kitsuregawa, Hirokazu Kiyomaru, Masaki Kobayashi, Takashi Kodama, Sadao Kurohashi, Qianying Liu, Masaki Matsubara, Yusuke Miyao, Atsuyuki Morishima, Yugo Murawaki, Kazumasa Omura, Haiyue Song, Eiichiro Sumita, Shinji Suzuki, Ribeka Tanaka, Yu Tanaka, Masashi Toyoda, Nobuhiro Ueda, Honai Ueoka, Masao Utiyama, Ying Zhong:
A System for Worldwide COVID-19 Information Aggregation. NLP4COVID@EMNLP 2020 - [c158]Sosuke Kobayashi, Sho Yokoi, Jun Suzuki, Kentaro Inui:
Efficient Estimation of Influence of a Training Instance. SustaiNLP@EMNLP 2020: 41-47 - [c157]Takumi Ito, Tatsuki Kuribayashi, Masatoshi Hidaka, Jun Suzuki, Kentaro Inui:
Langsmith: An Interactive Academic Text Revision System. EMNLP (Demos) 2020: 216-226 - [c156]Masato Mita, Shun Kiyono, Masahiro Kaneko, Jun Suzuki, Kentaro Inui:
A Self-Refinement Strategy for Noise Reduction in Grammatical Error Correction. EMNLP (Findings) 2020: 267-280 - [c155]Reina Akama, Sho Yokoi, Jun Suzuki, Kentaro Inui:
Filtering Noisy Dialogue Corpora by Connectivity and Content Relatedness. EMNLP (1) 2020: 941-958 - [c154]Sho Yokoi, Ryo Takahashi, Reina Akama, Jun Suzuki, Kentaro Inui:
Word Rotator's Distance. EMNLP (1) 2020: 2944-2960 - [c153]Goro Kobayashi, Tatsuki Kuribayashi, Sho Yokoi, Kentaro Inui:
Attention is Not Only a Weight: Analyzing Transformers with Vector Norms. EMNLP (1) 2020: 7057-7075 - [c152]Ryo Nagata, Kentaro Inui, Shin'ichiro Ishikawa:
Creating Corpora for Research in Feedback Comment Generation. LREC 2020: 340-345 - [i51]Goro Kobayashi, Tatsuki Kuribayashi, Sho Yokoi, Kentaro Inui:
Attention Module is Not Only a Weight: Analyzing Transformers with Vector Norms. CoRR abs/2004.10102 (2020) - [i50]Reina Akama, Sho Yokoi, Jun Suzuki, Kentaro Inui:
Utterance Pair Scoring for Noisy Dialogue Data Filtering. CoRR abs/2004.14008 (2020) - [i49]Shiki Sato, Reina Akama, Hiroki Ouchi, Jun Suzuki, Kentaro Inui:
Evaluating Dialogue Generation Systems via Response Selection. CoRR abs/2004.14302 (2020) - [i48]Hiroki Ouchi, Jun Suzuki, Sosuke Kobayashi, Sho Yokoi, Tatsuki Kuribayashi, Ryuto Konno, Kentaro Inui:
Instance-Based Learning of Span Representations: A Case Study through Named Entity Recognition. CoRR abs/2004.14514 (2020) - [i47]Hitomi Yanaka, Koji Mineshima, Daisuke Bekki, Kentaro Inui:
Do Neural Models Learn Systematicity of Monotonicity Inference in Natural Language? CoRR abs/2004.14839 (2020) - [i46]Sho Yokoi, Ryo Takahashi, Reina Akama, Jun Suzuki, Kentaro Inui:
Word Rotator's Distance: Decomposing Vectors Gives Better Representations. CoRR abs/2004.15003 (2020) - [i45]Tatsuki Kuribayashi, Takumi Ito, Jun Suzuki, Kentaro Inui:
Language Models as an Alternative Evaluator of Word Order Hypotheses: A Case Study in Japanese. CoRR abs/2005.00842 (2020) - [i44]Masahiro Kaneko, Masato Mita, Shun Kiyono, Jun Suzuki, Kentaro Inui:
Encoder-Decoder Models Can Benefit from Pre-trained Masked Language Models in Grammatical Error Correction. CoRR abs/2005.00987 (2020) - [i43]Takuma Kato, Kaori Abe, Hiroki Ouchi, Shumpei Miyawaki, Jun Suzuki, Kentaro Inui:
Embeddings of Label Components for Sequence Labeling: A Case Study of Fine-grained Named Entity Recognition. CoRR abs/2006.01372 (2020) - [i42]Kazuaki Hanawa, Sho Yokoi, Satoshi Hara, Kentaro Inui:
Evaluation Criteria for Instance-based Explanation. CoRR abs/2006.04528 (2020) - [i41]Akiko Aizawa, Frédéric Bergéron, Junjie Chen, Fei Cheng, Katsuhiko Hayashi, Kentaro Inui, Hiroyoshi Ito, Daisuke Kawahara, Masaru Kitsuregawa, Hirokazu Kiyomaru, Masaki Kobayashi, Takashi Kodama, Sadao Kurohashi, Qianying Liu, Masaki Matsubara, Yusuke Miyao, Atsuyuki Morishima, Yugo Murawaki, Kazumasa Omura, Haiyue Song, Eiichiro Sumita, Shinji Suzuki, Ribeka Tanaka, Yu Tanaka, Masashi Toyoda, Nobuhiro Ueda, Honai Ueoka, Masao Utiyama, Ying Zhong:
A System for Worldwide COVID-19 Information Aggregation. CoRR abs/2008.01523 (2020) - [i40]Benjamin Heinzerling, Kentaro Inui:
Language Models as Knowledge Bases: On Entity Representations, Storage Capacity, and Paraphrased Queries. CoRR abs/2008.09036 (2020) - [i39]Masato Mita, Shun Kiyono, Masahiro Kaneko, Jun Suzuki, Kentaro Inui:
A Self-Refinement Strategy for Noise Reduction in Grammatical Error Correction. CoRR abs/2010.03155 (2020) - [i38]Takumi Ito, Tatsuki Kuribayashi, Masatoshi Hidaka, Jun Suzuki, Kentaro Inui:
Langsmith: An Interactive Academic Text Revision System. CoRR abs/2010.04332 (2020) - [i37]Farjana Sultana Mim, Naoya Inoue, Paul Reisert, Hiroki Ouchi, Kentaro Inui:
Corruption Is Not All Bad: Incorporating Discourse Structure into Pre-training via Corruption for Essay Scoring. CoRR abs/2010.06137 (2020) - [i36]Ryuto Konno, Yuichiroh Matsubayashi, Shun Kiyono, Hiroki Ouchi, Ryo Takahashi, Kentaro Inui:
An Empirical Study of Contextual Data Augmentation for Japanese Zero Anaphora Resolution. CoRR abs/2011.00948 (2020) - [i35]Takaki Otake, Sho Yokoi, Naoya Inoue, Ryo Takahashi, Tatsuki Kuribayashi, Kentaro Inui:
Modeling Event Salience in Narratives via Barthes' Cardinal Functions. CoRR abs/2011.01785 (2020) - [i34]Ryo Fujii, Masato Mita, Kaori Abe, Kazuaki Hanawa, Makoto Morishita, Jun Suzuki, Kentaro Inui:
PheMT: A Phenomenon-wise Dataset for Machine Translation Robustness on User-Generated Contents. CoRR abs/2011.02121 (2020) - [i33]Sosuke Kobayashi, Sho Yokoi, Jun Suzuki, Kentaro Inui:
Efficient Estimation of Influence of a Training Instance. CoRR abs/2012.04207 (2020)
2010 – 2019
- 2019
- [j23]Kazuaki Hanawa, Akira Sasaki, Naoaki Okazaki, Kentaro Inui:
Stance Detection Attending External Knowledge from Wikipedia. J. Inf. Process. 27: 499-506 (2019) - [c151]Shun Kiyono, Jun Suzuki, Kentaro Inui:
Mixture of Expert/Imitator Networks: Scalable Semi-Supervised Learning Framework. AAAI 2019: 4073-4081 - [c150]Farjana Sultana Mim, Naoya Inoue, Paul Reisert, Hiroki Ouchi, Kentaro Inui:
Unsupervised Learning of Discourse-Aware Text Representation for Essay Scoring. ACL (2) 2019: 378-385 - [c149]Tatsuki Kuribayashi, Hiroki Ouchi, Naoya Inoue, Paul Reisert, Toshinori Miyoshi, Jun Suzuki, Kentaro Inui:
An Empirical Study of Span Representations in Argumentation Structure Parsing. ACL (1) 2019: 4691-4698 - [c148]Tianqi Wang, Naoya Inoue, Hiroki Ouchi, Tomoya Mizumoto, Kentaro Inui:
Inject Rubrics into Short Answer Grading System. DeepLo@EMNLP-IJCNLP 2019: 175-182 - [c147]Paul Reisert, Gisela Vallejo, Naoya Inoue, Iryna Gurevych, Kentaro Inui:
An Annotation Protocol for Collecting User-Generated Counter-Arguments Using Crowdsourcing. AIED (2) 2019: 232-236 - [c146]Tomoya Mizumoto, Hiroki Ouchi, Yoriko Isobe, Paul Reisert, Ryo Nagata, Satoshi Sekine, Kentaro Inui:
Analytic Score Prediction and Justification Identification in Automated Short Answer Scoring. BEA@ACL 2019: 316-325 - [c145]Hitomi Yanaka, Koji Mineshima, Daisuke Bekki, Kentaro Inui, Satoshi Sekine, Lasha Abzianidze, Johan Bos:
Can Neural Networks Understand Monotonicity Reasoning? BlackboxNLP@ACL 2019: 31-40 - [c144]Masato Hagiwara, Takumi Ito, Tatsuki Kuribayashi, Jun Suzuki, Kentaro Inui:
TEASPN: Framework and Protocol for Integrated Writing Assistance Environments. EMNLP/IJCNLP (3) 2019: 229-234 - [c143]Xiaoyu Shen, Jun Suzuki, Kentaro Inui, Hui Su, Dietrich Klakow, Satoshi Sekine:
Select and Attend: Towards Controllable Content Selection in Text Generation. EMNLP/IJCNLP (1) 2019: 579-590 - [c142]Shun Kiyono, Jun Suzuki, Masato Mita, Tomoya Mizumoto, Kentaro Inui:
An Empirical Study of Incorporating Pseudo Data into Grammatical Error Correction. EMNLP/IJCNLP (1) 2019: 1236-1242 - [c141]Hiroki Ouchi, Jun Suzuki, Kentaro Inui:
Transductive Learning of Neural Language Models for Syntactic and Semantic Analysis. EMNLP/IJCNLP (1) 2019: 3663-3669 - [c140]Takumi Ito, Tatsuki Kuribayashi, Hayato Kobayashi, Ana Brassard, Masato Hagiwara, Jun Suzuki, Kentaro Inui:
Diamonds in the Rough: Generating Fluent Sentences from Early-Stage Drafts for Academic Writing Assistance. INLG 2019: 40-53 - [c139]Yuta Hitomi, Yuya Taguchi, Hideaki Tamori, Ko Kikuta, Jiro Nishitoba, Naoaki Okazaki, Kentaro Inui, Manabu Okumura:
A Large-Scale Multi-Length Headline Corpus for Analyzing Length-Constrained Headline Generation Model Evaluation. INLG 2019: 333-343 - [c138]Masato Mita, Tomoya Mizumoto, Masahiro Kaneko, Ryo Nagata, Kentaro Inui:
Cross-Corpora Evaluation and Analysis of Grammatical Error Correction Models - Is Single-Corpus Evaluation Enough? NAACL-HLT (1) 2019: 1309-1314 - [c137]Shota Sasaki, Jun Suzuki, Kentaro Inui:
Subword-based Compact Reconstruction of Word Embeddings. NAACL-HLT (1) 2019: 3498-3508 - [c136]Yasutomo Kimura, Hideyuki Shibuki, Hokuto Ototake, Yuzu Uchida, Keiichi Takamaru, Kotaro Sakamoto, Madoka Ishioroshi, Teruko Mitamura, Noriko Kando, Tatsunori Mori, Harumichi Yuasa, Satoshi Sekine, Kentaro Inui:
Final Report of the NTCIR-14 QA Lab-PoliInfo Task. NTCIR 2019: 122-135 - [c135]Kazuaki Hanawa, Shota Sasaki, Hiroki Ouchi, Jun Suzuki, Kentaro Inui:
The Sally Smedley Hyperpartisan News Detector at SemEval-2019 Task 4. SemEval@NAACL-HLT 2019: 1057-1061 - [c134]Hitomi Yanaka, Koji Mineshima, Daisuke Bekki, Kentaro Inui, Satoshi Sekine, Lasha Abzianidze, Johan Bos:
HELP: A Dataset for Identifying Shortcomings of Neural Models in Monotonicity Reasoning. *SEM@NAACL-HLT 2019: 250-255 - [e3]Kentaro Inui, Jing Jiang, Vincent Ng, Xiaojun Wan:
Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing, EMNLP-IJCNLP 2019, Hong Kong, China, November 3-7, 2019. Association for Computational Linguistics 2019, ISBN 978-1-950737-90-1 [contents] - [i32]Yuta Hitomi, Yuya Taguchi, Hideaki Tamori, Ko Kikuta, Jiro Nishitoba, Naoaki Okazaki, Kentaro Inui, Manabu Okumura:
A Large-Scale Multi-Length Headline Corpus for Improving Length-Constrained Headline Generation Model Evaluation. CoRR abs/1903.11771 (2019) - [i31]Masato Mita, Tomoya Mizumoto, Masahiro Kaneko, Ryo Nagata, Kentaro Inui:
Cross-Corpora Evaluation and Analysis of Grammatical Error Correction Models - Is Single-Corpus Evaluation Enough? CoRR abs/1904.02927 (2019) - [i30]Hitomi Yanaka, Koji Mineshima, Daisuke Bekki, Kentaro Inui, Satoshi Sekine, Lasha Abzianidze, Johan Bos:
HELP: A Dataset for Identifying Shortcomings of Neural Models in Monotonicity Reasoning. CoRR abs/1904.12166 (2019) - [i29]Hitomi Yanaka, Koji Mineshima, Daisuke Bekki, Kentaro Inui, Satoshi Sekine, Lasha Abzianidze, Johan Bos:
Can neural networks understand monotonicity reasoning? CoRR abs/1906.06448 (2019) - [i28]Shun Kiyono, Jun Suzuki, Masato Mita, Tomoya Mizumoto, Kentaro Inui:
An Empirical Study of Incorporating Pseudo Data into Grammatical Error Correction. CoRR abs/1909.00502 (2019) - [i27]Masato Hagiwara, Takumi Ito, Tatsuki Kuribayashi, Jun Suzuki, Kentaro Inui:
TEASPN: Framework and Protocol for Integrated Writing Assistance Environments. CoRR abs/1909.02621 (2019) - [i26]Xiaoyu Shen, Jun Suzuki, Kentaro Inui, Hui Su, Dietrich Klakow, Satoshi Sekine:
Select and Attend: Towards Controllable Content Selection in Text Generation. CoRR abs/1909.04453 (2019) - [i25]Paul Reisert, Benjamin Heinzerling, Naoya Inoue, Shun Kiyono, Kentaro Inui:
Riposte! A Large Corpus of Counter-Arguments. CoRR abs/1910.03246 (2019) - [i24]Naoya Inoue, Pontus Stenetorp, Kentaro Inui:
RC-QED: Evaluating Natural Language Derivations in Multi-Hop Reading Comprehension. CoRR abs/1910.04601 (2019) - [i23]Takumi Ito, Tatsuki Kuribayashi, Hayato Kobayashi, Ana Brassard, Masato Hagiwara, Jun Suzuki, Kentaro Inui:
Diamonds in the Rough: Generating Fluent Sentences from Early-Stage Drafts for Academic Writing Assistance. CoRR abs/1910.09180 (2019) - [i22]Pride Kavumba, Naoya Inoue, Benjamin Heinzerling, Keshav Singh, Paul Reisert, Kentaro Inui:
When Choosing Plausible Alternatives, Clever Hans can be Clever. CoRR abs/1911.00225 (2019) - [i21]Saku Sugawara, Pontus Stenetorp, Kentaro Inui, Akiko Aizawa:
Assessing the Benchmarking Capacity of Machine Reading Comprehension Datasets. CoRR abs/1911.09241 (2019) - 2018
- [j22]Masatoshi Suzuki, Koji Matsuda, Satoshi Sekine, Naoaki Okazaki, Kentaro Inui:
A Joint Neural Model for Fine-Grained Named Entity Classification of Wikipedia Articles. IEICE Trans. Inf. Syst. 101-D(1): 73-81 (2018) - [j21]Kento Watanabe, Yuichiroh Matsubayashi, Kentaro Inui, Satoru Fukayama, Tomoyasu Nakano, Masataka Goto:
Modeling Storylines in Lyrics. IEICE Trans. Inf. Syst. 101-D(4): 1167-1179 (2018) - [j20]Qin Dai, Naoya Inoue, Paul Reisert, Kentaro Inui:
Leveraging Unannotated Texts for Scientific Relation Extraction. IEICE Trans. Inf. Syst. 101-D(12): 3209-3217 (2018) - [c133]Reina Akama, Kento Watanabe, Sho Yokoi, Sosuke Kobayashi, Kentaro Inui:
Unsupervised Learning of Style-sensitive Word Vectors. ACL (2) 2018: 572-578 - [c132]Ryo Takahashi, Ran Tian, Kentaro Inui:
Interpretable and Compositional Relation Learning by Joint Training with an Autoencoder. ACL (1) 2018: 2148-2159 - [c131]Diana Galvan, Naoaki Okazaki, Koji Matsuda, Kentaro Inui:
Investigating the Challenges of Temporal Relation Extraction from Clinical Text. Louhi@EMNLP 2018: 55-64 - [c130]Takuya Makino, Tomoya Noro, Hiyori Yoshikawa, Tomoya Iwakura, Satoshi Sekine, Kentaro Inui:
A FAQ Search Training Method Based on Automatically Generated Questions. AIRS 2018: 67-73 - [c129]Paul Reisert, Naoya Inoue, Tatsuki Kuribayashi, Kentaro Inui:
Feasible Annotation Scheme for Capturing Policy Argument Reasoning using Argument Templates. ArgMining@EMNLP 2018: 79-89 - [c128]Yuichiroh Matsubayashi, Kentaro Inui:
Distance-Free Modeling of Multi-Predicate Interactions in End-to-End Japanese Predicate-Argument Structure Analysis. COLING 2018: 94-106 - [c127]Akira Sasaki, Kazuaki Hanawa, Naoaki Okazaki, Kentaro Inui:
Predicting Stances from Social Media Posts using Factorization Machines. COLING 2018: 3381-3390 - [c126]Shun Kiyono, Sho Takase, Jun Suzuki, Naoaki Okazaki, Kentaro Inui, Masaaki Nagata:
Unsupervised Token-wise Alignment to Improve Interpretation of Encoder-Decoder Models. BlackboxNLP@EMNLP 2018: 74-81 - [c125]Sho Yokoi, Sosuke Kobayashi, Kenji Fukumizu, Jun Suzuki, Kentaro Inui:
Pointwise HSIC: A Linear-Time Kernelized Co-occurrence Norm for Sparse Linguistic Expressions. EMNLP 2018: 1763-1775 - [c124]Saku Sugawara, Kentaro Inui, Satoshi Sekine, Akiko Aizawa:
What Makes Reading Comprehension Questions Easier? EMNLP 2018: 4208-4219 - [c123]Kento Watanabe, Yuichiroh Matsubayashi, Satoru Fukayama, Masataka Goto, Kentaro Inui, Tomoyasu Nakano:
A Melody-Conditioned Lyrics Language Model. NAACL-HLT 2018: 163-172 - [c122]Shota Sasaki, Shuo Sun, Shigehiko Schamoni, Kevin Duh, Kentaro Inui:
Cross-Lingual Learning-to-Rank with Shared Representations. NAACL-HLT (2) 2018: 458-463 - [c121]Kaori Abe, Yuichiroh Matsubayashi, Naoaki Okazaki, Kentaro Inui:
Multi-dialect Neural Machine Translation and Dialectometry. PACLIC 2018 - [c120]Qin Dai, Naoya Inoue, Paul Reisert, Kentaro Inui:
Improving Scientific Relation Classification with Task Specific Supersense. PACLIC 2018 - [c119]Shun Kiyono, Sho Takase, Jun Suzuki, Naoaki Okazaki, Kentaro Inui, Masaaki Nagata:
Reducing Odd Generation from Neural Headline Generation. PACLIC 2018 - [c118]Tsubasa Tagami, Hiroki Ouchi, Hiroki Asano, Kazuaki Hanawa, Kaori Uchiyama, Kaito Suzuki, Kentaro Inui, Atsushi Komiya, Atsuo Fujimura, Ryo Yamashita, Hitofumi Yanai, Akinori Machino:
Suspicious News Detection Using Micro Blog Text. PACLIC 2018 - [i20]Reina Akama, Kento Watanabe, Sho Yokoi, Sosuke Kobayashi, Kentaro Inui:
Unsupervised Learning of Style-sensitive Word Vectors. CoRR abs/1805.05581 (2018) - [i19]Ryo Takahashi, Ran Tian, Kentaro Inui:
Interpretable and Compositional Relation Learning by Joint Training with an Autoencoder. CoRR abs/1805.09547 (2018) - [i18]Yuichiroh Matsubayashi, Kentaro Inui:
Distance-Free Modeling of Multi-Predicate Interactions in End-to-End Japanese Predicate-Argument Structure Analysis. CoRR abs/1806.03869 (2018) - [i17]Saku Sugawara, Kentaro Inui, Satoshi Sekine, Akiko Aizawa:
What Makes Reading Comprehension Questions Easier? CoRR abs/1808.09384 (2018) - [i16]Sho Yokoi, Sosuke Kobayashi, Kenji Fukumizu, Jun Suzuki, Kentaro Inui:
Pointwise HSIC: A Linear-Time Kernelized Co-occurrence Norm for Sparse Linguistic Expressions. CoRR abs/1809.00800 (2018) - [i15]Shun Kiyono, Jun Suzuki, Kentaro Inui:
Mixture of Expert/Imitator Networks: Scalable Semi-supervised Learning Framework. CoRR abs/1810.05788 (2018) - [i14]Tsubasa Tagami, Hiroki Ouchi, Hiroki Asano, Kazuaki Hanawa, Kaori Uchiyama, Kaito Suzuki, Kentaro Inui, Atsushi Komiya, Atsuo Fujimura, Hitofumi Yanai, Ryo Yamashita, Akinori Machino:
Suspicious News Detection Using Micro Blog Text. CoRR abs/1810.11663 (2018) - 2017
- [j19]Koji Matsuda, Akira Sasaki, Naoaki Okazaki, Kentaro Inui:
Geographical Entity Annotated Corpus of Japanese Microblogs. J. Inf. Process. 25: 121-130 (2017) - [j18]Shuangshuang Zhou, Naoaki Okazaki, Koji Matsuda, Ran Tian, Kentaro Inui:
Supervised Approaches for Japanese Wikification. J. Inf. Process. 25: 341-350 (2017) - [j17]Ran Tian, Naoaki Okazaki, Kentaro Inui:
The mechanism of additive composition. Mach. Learn. 106(7): 1083-1130 (2017) - [c117]Akira Sasaki, Kazuaki Hanawa, Naoaki Okazaki, Kentaro Inui:
Other Topics You May Also Agree or Disagree: Modeling Inter-Topic Preferences using Tweets and Matrix Factorization. ACL (1) 2017: 398-408 - [c116]Koji Matsuda, Mizuki Sango, Naoaki Okazaki, Kentaro Inui:
Monitoring Geographical Entities with Temporal Awareness in Tweets. CICLing (2) 2017: 379-390 - [c115]Sonse Shimaoka, Pontus Stenetorp, Kentaro Inui, Sebastian Riedel:
Neural Architectures for Fine-grained Entity Type Classification. EACL (1) 2017: 1271-1280 - [c114]Hideaki Tamori, Yuta Hitomi, Naoaki Okazaki, Kentaro Inui:
Analyzing the Revision Logs of a Japanese Newspaper for Article Quality Assessment. NLPmJ@EMNLP 2017: 46-50 - [c113]Sho Yokoi, Daichi Mochihashi, Ryo Takahashi, Naoaki Okazaki, Kentaro Inui:
Learning Co-Substructures by Kernel Dependence Maximization. IJCAI 2017: 3329-3335 - [c112]Yuichiroh Matsubayashi, Kentaro Inui:
Revisiting the Design Issues of Local Models for Japanese Predicate-Argument Structure Analysis. IJCNLP(2) 2017: 128-133 - [c111]Hiroki Asano, Tomoya Mizumoto, Kentaro Inui:
Reference-based Metrics can be Replaced with Reference-less Metrics in Evaluating Grammatical Error Correction Systems. IJCNLP(2) 2017: 343-348 - [c110]Reina Akama, Kazuaki Inada, Naoya Inoue, Sosuke Kobayashi, Kentaro Inui:
Generating Stylistically Consistent Dialog Responses with Transfer Learning. IJCNLP(2) 2017: 408-412 - [c109]Yuta Hitomi, Hideaki Tamori, Naoaki Okazaki, Kentaro Inui:
Proofread Sentence Generation as Multi-Task Learning with Editing Operation Prediction. IJCNLP(2) 2017: 436-441 - [c108]Sosuke Kobayashi, Naoaki Okazaki, Kentaro Inui:
A Neural Language Model for Dynamically Representing the Meanings of Unknown Words and Entities in a Discourse. IJCNLP(1) 2017: 473-483 - [c107]Kento Watanabe, Yuichiroh Matsubayashi, Kentaro Inui, Tomoyasu Nakano, Satoru Fukayama, Masataka Goto:
LyriSys: An Interactive Support System for Writing Lyrics Based on Topic Transition. IUI 2017: 559-563 - [c106]Shota Sasaki, Sho Takase, Naoya Inoue, Naoaki Okazaki, Kentaro Inui:
Handling Multiword Expressions in Causality Estimation. IWCS(2) 2017 - [c105]Qin Dai, Naoya Inoue, Paul Reisert, Kentaro Inui:
Leveraging Document-Specific Information for Classifying Relations in Scientific Articles. JSAI-isAI Workshops 2017: 355-370 - [c104]Kazuaki Hanawa, Akira Sasaki, Naoaki Okazaki, Kentaro Inui:
A Crowdsourcing Approach for Annotating Causal Relation Instances in Wikipedia. PACLIC 2017: 336-345 - [i13]Akira Sasaki, Kazuaki Hanawa, Naoaki Okazaki, Kentaro Inui:
Other Topics You May Also Agree or Disagree: Modeling Inter-Topic Preferences using Tweets and Matrix Factorization. CoRR abs/1704.07986 (2017) - [i12]Sho Takase, Naoaki Okazaki, Kentaro Inui:
Composing Distributed Representations of Relational Patterns. CoRR abs/1707.07265 (2017) - [i11]Sosuke Kobayashi, Naoaki Okazaki, Kentaro Inui:
A Neural Language Model for Dynamically Representing the Meanings of Unknown Words and Entities in a Discourse. CoRR abs/1709.01679 (2017) - [i10]Yuichiroh Matsubayashi, Kentaro Inui:
Revisiting the Design Issues of Local Models for Japanese Predicate-Argument Structure Analysis. CoRR abs/1710.04437 (2017) - [i9]Paul Reisert, Naoya Inoue, Naoaki Okazaki, Kentaro Inui:
A Corpus of Deep Argumentative Structures as an Explanation to Argumentative Relations. CoRR abs/1712.02480 (2017) - [i8]Shun Kiyono, Sho Takase, Jun Suzuki, Naoaki Okazaki, Kentaro Inui, Masaaki Nagata:
Source-side Prediction for Neural Headline Generation. CoRR abs/1712.08302 (2017) - 2016
- [j16]Sho Takase, Naoaki Okazaki, Kentaro Inui:
Modeling semantic compositionality of relational patterns. Eng. Appl. Artif. Intell. 50: 256-264 (2016) - [j15]Kentaro Inui:
Editor's Message to Special Issue on Student and Young Researcher Papers. J. Inf. Process. 24(2): 265 (2016) - [c103]Takuya Yashima, Naoaki Okazaki, Kentaro Inui, Kota Yamaguchi, Takayuki Okatani:
Learning to Describe E-Commerce Images from Noisy Online Data. ACCV (5) 2016: 85-100 - [c102]Davaajav Jargalsaikhan, Naoaki Okazaki, Koji Matsuda, Kentaro Inui:
Building a Corpus for Japanese Wikification with Fine-Grained Entity Classes. ACL (Student Research Workshop) 2016: 138-144 - [c101]Sho Takase, Naoaki Okazaki, Kentaro Inui:
Composing Distributed Representations of Relational Patterns. ACL (1) 2016 - [c100]Ran Tian, Naoaki Okazaki, Kentaro Inui:
Learning Semantically and Additively Compositional Distributional Representations. ACL (1) 2016 - [c99]Sonse Shimaoka, Pontus Stenetorp, Kentaro Inui, Sebastian Riedel:
An Attentive Neural Architecture for Fine-grained Entity Type Classification. AKBC@NAACL-HLT 2016: 69-74 - [c98]Kento Watanabe, Yuichiroh Matsubayashi, Naho Orita, Naoaki Okazaki, Kentaro Inui, Satoru Fukayama, Tomoyasu Nakano, Jordan B. L. Smith, Masataka Goto:
Modeling Discourse Segments in Lyrics Using Repeated Patterns. COLING 2016: 1959-1969 - [c97]Naoya Inoue, Yuichiroh Matsubayashi, Masayuki Ono, Naoaki Okazaki, Kentaro Inui:
Modeling Context-sensitive Selectional Preference with Distributed Representations. COLING 2016: 2829-2838 - [c96]Corentin Dumont, Ran Tian, Kentaro Inui:
Question-Answering with Logic Specific to Video Games. LREC 2016 - [c95]Sosuke Kobayashi, Ran Tian, Naoaki Okazaki, Kentaro Inui:
Dynamic Entity Representation with Max-pooling Improves Machine Reading. HLT-NAACL 2016: 850-855 - [c94]Masayasu Muraoka, Sumit Maharjan, Masaki Saito, Kota Yamaguchi, Naoaki Okazaki, Takayuki Okatani, Kentaro Inui:
Recognizing Open-Vocabulary Relations between Objects in Images. PACLIC 2016 - [c93]Masatoshi Suzuki, Koji Matsuda, Satoshi Sekine, Naoaki Okazaki, Kentaro Inui:
Neural Joint Learning for Classifying Wikipedia Articles into Fine-grained Named Entity Types. PACLIC 2016 - [c92]Mei Uemura, Naho Orita, Naoaki Okazaki, Kentaro Inui:
Toward the automatic extraction of knowledge of usable goods. PACLIC 2016 - [c91]Yuki Igarashi, Hiroya Komatsu, Sosuke Kobayashi, Naoaki Okazaki, Kentaro Inui:
Tohoku at SemEval-2016 Task 6: Feature-based Model versus Convolutional Neural Network for Stance Detection. SemEval@NAACL-HLT 2016: 401-407 - [c90]Masatoshi Suzuki, Koji Matsuda, Satoshi Sekine, Naoaki Okazaki, Kentaro Inui:
Fine-Grained Named Entity Classification with Wikipedia Article Vectors. WI 2016: 483-486 - [c89]Akira Sasaki, Junta Mizuno, Naoaki Okazaki, Kentaro Inui:
Stance Classification by Recognizing Related Events about Targets. WI 2016: 582-587 - [i7]Sonse Shimaoka, Pontus Stenetorp, Kentaro Inui, Sebastian Riedel:
An Attentive Neural Architecture for Fine-grained Entity Type Classification. CoRR abs/1604.05525 (2016) - [i6]Sonse Shimaoka, Pontus Stenetorp, Kentaro Inui, Sebastian Riedel:
Neural Architectures for Fine-grained Entity Type Classification. CoRR abs/1606.01341 (2016) - [i5]Ran Tian, Naoaki Okazaki, Kentaro Inui:
Learning Semantically and Additively Compositional Distributional Representations. CoRR abs/1606.02461 (2016) - 2015
- [c88]Yudai Kamioka, Kazuya Narita, Junta Mizuno, Miwa Kanno, Kentaro Inui:
Semantic Annotation of Japanese Functional Expressions and its Impact on Factuality Analysis. LAW@NAACL-HLT 2015: 52-61 - [c87]Koji Matsuda, Akira Sasaki, Naoaki Okazaki, Kentaro Inui:
Annotating Geographical Entities on Microblog Text. LAW@NAACL-HLT 2015: 85-94 - [c86]Paul Reisert, Naoya Inoue, Naoaki Okazaki, Kentaro Inui:
A Computational Approach for Generating Toulmin Model Argumentation. ArgMining@HLT-NAACL 2015: 45-55 - [c85]Toshihiko Yanase, Toshinori Miyoshi, Kohsuke Yanai, Misa Sato, Makoto Iwayama, Yoshiki Niwa, Paul Reisert, Kentaro Inui:
Learning Sentence Ordering for Opinion Generation of Debate. ArgMining@HLT-NAACL 2015: 94-103 - [c84]Hiroya Komatsu, Ran Tian, Naoaki Okazaki, Kentaro Inui:
Reducing Lexical Features in Parsing by Word Embeddings. PACLIC 2015 - [c83]Junta Mizuno, Canasai Kruengkrai, Kiyonori Ohtake, Chikara Hashimoto, Kentaro Torisawa, Julien Kloetzer, Kentaro Inui:
Recognizing Complex Negation on Twitter. PACLIC 2015 - [c82]Sho Takase, Naoaki Okazaki, Kentaro Inui:
Fast and Large-scale Unsupervised Relation Extraction. PACLIC 2015 - [i4]Ran Tian, Naoaki Okazaki, Kentaro Inui:
The Mechanism of Additive Composition. CoRR abs/1511.08407 (2015) - 2014
- [j14]Shuangshuang Zhou, Canasai Kruengkrai, Naoaki Okazaki, Kentaro Inui:
Exploring Linguistic Features for Named Entity Disambiguation. Int. J. Comput. Linguistics Appl. 5(2): 49-66 (2014) - [j13]Naoya Inoue, Kentaro Inui:
ILP-based Inference for Cost-based Abduction on First-order Predicate Logic. Inf. Media Technol. 9(1): 83-110 (2014) - [c81]Paul Reisert, Junta Mizuno, Miwa Kanno, Naoaki Okazaki, Kentaro Inui:
A Corpus Study for Identifying Evidence on Microblogs. LAW@COLING 2014: 70-74 - [c80]Keita Nabeshima, Junta Mizuno, Naoaki Okazaki, Kentaro Inui:
Mining False Information on Twitter for a Major Disaster Situation. AMT 2014: 96-109 - [c79]Masayasu Muraoka, Sonse Shimaoka, Kazeto Yamamoto, Yotaro Watanabe, Naoaki Okazaki, Kentaro Inui:
Finding The Best Model Among Representative Compositional Models. PACLIC 2014: 65-74 - [c78]Canasai Kruengkrai, Naoya Inoue, Jun Sugiura, Kentaro Inui:
An Example-Based Approach to Difficult Pronoun Resolution. PACLIC 2014: 358-367 - [c77]Kento Watanabe, Yuichiroh Matsubayashi, Kentaro Inui, Masataka Goto:
Modeling Structural Topic Transitions for Automatic Lyrics Generation. PACLIC 2014: 422-431 - 2013
- [c76]Sho Takase, Akiko Murakami, Miki Enoki, Naoaki Okazaki, Kentaro Inui:
Detecting Chronic Critics Based on Sentiment Polarity and User's Behavior in Social Media. ACL (Student Research Workshop) 2013: 110-116 - [c75]Katsuma Narisawa, Yotaro Watanabe, Junta Mizuno, Naoaki Okazaki, Kentaro Inui:
Is a 204 cm Man Tall or Small ? Acquisition of Numerical Common Sense from the Web. ACL (1) 2013: 382-391 - [c74]Kazeto Yamamoto, Naoya Inoue, Yotaro Watanabe, Naoaki Okazaki, Kentaro Inui:
Discriminative Learning of First-Order Weighted Abduction from Partial Discourse Explanations. CICLing (1) 2013: 545-558 - [c73]Jiro Umezawa, Junta Mizuno, Naoaki Okazaki, Kentaro Inui:
Evidence in Automatic Error Correction Improves Learners' English Skill. CICLing (2) 2013: 559-571 - [c72]Yotaro Watanabe, Kentaro Inui, Shingo Suzuki, Hiroko Koumoto, Mitsuhiro Higashida, Yuji Maeda, Katsumi Iwatsuki:
Computer-assisted Structuring of Emergency Management Information: A Project Note. LPCI@IJCNLP 2013: 10-18 - [c71]Kiyonori Ohtake, Jun Goto, Stijn De Saeger, Kentaro Torisawa, Junta Mizuno, Kentaro Inui:
NICT Disaster Information Analysis System. IJCNLP 2013: 29-32 - [c70]Naoaki Okazaki, Keita Nabeshima, Kento Watanabe, Junta Mizuno, Kentaro Inui:
Extracting and Aggregating False Information from Microblogs. LPCI@IJCNLP 2013: 36-43 - [c69]Kazuya Narita, Junta Mizuno, Kentaro Inui:
A Lexicon-based Investigation of Research Issues in Japanese Factuality Analysis. IJCNLP 2013: 587-595 - [c68]Jun Sugiura, Naoya Inoue, Kentaro Inui:
Recognizing Implicit Discourse Relations through Abductive Reasoning with Large-scale Lexical Knowledge. NLPAR@LPNMR 2013: 76-87 - [c67]Junta Mizuno, Kentaro Inui, Asuka Sumida, Gen Hattori, Chihiro Ono:
TKDDI group at NTCIR10-RITE2: Recognizing Texual Entailment Based on Dependency Structure Alignment. NTCIR 2013 - [c66]Yotaro Watanabe, Junta Mizuno, Kentaro Inui:
THK's Natural Logic-based Compositional Textual Entailment Model at NTCIR-10 RITE-2. NTCIR 2013 - [c65]Han-Cheol Cho, Naoaki Okazaki, Kentaro Inui:
Inducing Context Gazetteers from Encyclopedic Databases for Named Entity Recognition. PAKDD (1) 2013: 378-389 - [e2]Kentaro Inui, Hideto Kazawa, Graham Neubig, Masao Utiyama:
Proceedings of the Workshop on Language Processing and Crisis Information@IJCNLP 2013, Nagoya, Japan, October 14-18, 2013. Asian Federation of Natural Language Processing 2013, ISBN 978-4-9907348-6-2 [contents] - 2012
- [j12]Yotaro Watanabe, Junta Mizuno, Eric Nichols, Katsuma Narisawa, Keita Nabeshima, Naoaki Okazaki, Kentaro Inui:
Leveraging Diverse Lexical Resources for Textual Entailment Recognition. ACM Trans. Asian Lang. Inf. Process. 11(4): 18:1-18:22 (2012) - [c64]Junta Mizuno, Eric Nichols, Yotaro Watanabe, Kentaro Inui:
Organizing Information on the Web through Agreement-Conflict Relation Classification. AIRS 2012: 126-137 - [c63]Naoya Inoue, Ekaterina Ovchinnikova, Kentaro Inui, Jerry R. Hobbs:
Coreference Resolution with ILP-based Weighted Abduction. COLING 2012: 1291-1308 - [c62]Yotaro Watanabe, Junta Mizuno, Eric Nichols, Naoaki Okazaki, Kentaro Inui:
A Latent Discriminative Model for Compositional Entailment Relation Recognition using Natural Logic. COLING 2012: 2805-2820 - [c61]Naoya Inoue, Kentaro Inui:
Large-Scale Cost-Based Abduction in Full-Fledged First-Order Predicate Logic with Cutting Plane Inference. JELIA 2012: 281-293 - [c60]Sho Takase, Naoaki Okazaki, Kentaro Inui:
Set Expansion using Sibling Relations between Semantic Categories. PACLIC 2012: 525-534 - 2011
- [j11]Shuya Abe, Kentaro Inui, Kazuo Hara, Hiraku Morita, Chitose Sao, Megumi Eguchi, Asuka Sumida, Koji Murakami, Suguru Matsuyoshi:
Mining personal experiences and opinions from Web documents. Web Intell. Agent Syst. 9(2): 109-121 (2011) - [c59]Naoya Inoue, Kentaro Inui:
ILP-Based Reasoning for Weighted Abduction. Plan, Activity, and Intent Recognition 2011 - [c58]Hiram Calvo, Omar Juárez Gambino, Alexander F. Gelbukh, Kentaro Inui:
Dependency Syntax Analysis Using Grammar Induction and a Lexical Categories Precedence System. CICLing (1) 2011: 109-120 - [c57]Hiram Calvo, Kentaro Inui, Yuji Matsumoto:
Co-related Verb Argument Selectional Preferences. CICLing (1) 2011: 133-143 - [c56]Megumi Ohki, Eric Nichols, Suguru Matsuyoshi, Koji Murakami, Junta Mizuno, Shouko Masuda, Kentaro Inui, Yuji Matsumoto:
Recognizing Confinement in Web Texts. IWCS 2011 - [c55]Yotaro Watanabe, Junta Mizuno, Eric Nichols, Katsuma Narisawa, Keita Nabeshima, Kentaro Inui:
TU Group at NTCIR9-RITE: Leveraging Diverse Lexical Resources for Recognizing Textual Entailment. NTCIR 2011 - [c54]Yutaka I. Leon-Suematsu, Kentaro Inui, Sadao Kurohashi, Yutaka Kidawara:
Web Spam Detection by Exploring Densely Connected Subgraphs. Web Intelligence 2011: 124-129 - [c53]Takuya Kawada, Susumu Akamine, Daisuke Kawahara, Yoshikiyo Kato, Yutaka I. Leon-Suematsu, Kentaro Inui, Sadao Kurohashi, Yutaka Kidawara:
Web information analysis for open-domain decision support: system design and user evaluation. WebQuality@WWW 2011: 13-18 - [i3]Sadao Kurohashi, Akihiro Yamamoto, Kentaro Inui, Sebastian Riedel:
Knowledge-leveraged Computational Thinking through Natural Language Processing and Statistical Logic (NII Shonan Meeting 2011-4). NII Shonan Meet. Rep. 2011 (2011) - 2010
- [j10]Naoya Inoue, Ryu Iida, Kentaro Inui, Yuji Matsumoto:
Resolving Direct and Indirect Anaphora for Japanese Definite Noun Phrases. Inf. Media Technol. 5(1): 295-320 (2010) - [c52]Koji Murakami, Eric Nichols, Junta Mizuno, Yotaro Watanabe, Shouko Masuda, Hayato Goto, Megumi Ohki, Chitose Sao, Suguru Matsuyoshi, Kentaro Inui, Yuji Matsumoto:
Statement map: reducing web information credibility noise through opinion classification. AND 2010: 59-66 - [c51]Daisuke Kawahara, Kentaro Inui, Sadao Kurohashi:
Identifying Contradictory and Contrastive Relations between Statements to Outline Web Information on a Given Topic. COLING (Posters) 2010: 534-542 - [c50]Susumu Akamine, Daisuke Kawahara, Yoshikiyo Kato, Tetsuji Nakagawa, Yutaka I. Leon-Suematsu, Takuya Kawada, Kentaro Inui, Sadao Kurohashi, Yutaka Kidawara:
Organizing information on the Web to support user judgments on information credibility. IUCS 2010: 123-130 - [c49]Yoshikiyo Kato, Kentaro Inui, Sadao Kurohashi:
Expertise analysis of information senders of Web pages. IUCS 2010: 135-140 - [c48]Yoshikiyo Kato, Susumu Akamine, Daisuke Kawahara, Tetsuji Nakagawa, Yutaka I. Leon-Suematsu, Takuya Kawada, Kentaro Inui, Sadao Kurohashi, Yutaka Kidawara:
WISDOM: A web information analysis system. IUCS 2010: 406 - [c47]Suguru Matsuyoshi, Megumi Eguchi, Chitose Sao, Koji Murakami, Kentaro Inui, Yuji Matsumoto:
Annotating Event Mentions in Text with Modality, Focus, and Source Information. LREC 2010 - [c46]Tetsuji Nakagawa, Kentaro Inui, Sadao Kurohashi:
Dependency Tree-based Sentiment Classification using CRFs with Hidden Variables. HLT-NAACL 2010: 786-794
2000 – 2009
- 2009
- [c45]Susumu Akamine, Daisuke Kawahara, Yoshikiyo Kato, Tetsuji Nakagawa, Kentaro Inui, Sadao Kurohashi, Yutaka Kidawara:
WISDOM: A Web Information Credibility Analysis Systematic. ACL/IJCNLP (Software Demonstrations) 2009: 1-4 - [c44]Ryu Iida, Kentaro Inui, Yuji Matsumoto:
Capturing Salience with a Trainable Cache Model for Zero-anaphora Resolution. ACL/IJCNLP 2009: 647-655 - [c43]Koji Murakami, Shouko Masuda, Suguru Matsuyoshi, Eric Nichols, Kentaro Inui, Yuji Matsumoto:
Annotating Semantic Relations Combining Facts and Opinions. Linguistic Annotation Workshop 2009: 150-153 - [c42]Hiram Calvo, Kentaro Inui, Yuji Matsumoto:
Learning Co-relations of Plausible Verb Arguments with a WSM and a Distributional Thesaurus. CIARP 2009: 363-370 - [c41]Takuya Kawada, Tetsuji Nakagawa, Kentaro Inui, Sadao Kurohashi:
Topic relatedness in evaluative information extraction. IUCS 2009: 120-125 - [c40]Susumu Akamine, Yoshikiyo Kato, Daisuke Kawahara, Keiji Shinzato, Kentaro Inui, Sadao Kurohashi, Yutaka Kidawara:
Development of a large-scale web crawler and search engine infrastructure. IUCS 2009: 126-131 - [c39]Daisuke Kawahara, Tetsuji Nakagawa, Takuya Kawada, Kentaro Inui, Sadao Kurohashi:
Summarizing evaluative information on the web for information credibility analysis. IUCS 2009: 187-192 - [c38]Hiram Calvo, Kentaro Inui, Yuji Matsumoto:
Dependency Language Modeling Using KNN and PLSI. MICAI 2009: 136-144 - [c37]Hiram Calvo, Kentaro Inui, Yuji Matsumoto:
Interpolated PLSI for Learning Plausible Verb Arguments. PACLIC 2009: 622-629 - [c36]Yoshikiyo Kato, Daisuke Kawahara, Kentaro Inui, Sadao Kurohashi, Tomohide Shibata:
Identifying Information Sender Configuration of Web Pages. Web Intelligence 2009: 335-340 - [c35]Koji Murakami, Eric Nichols, Suguru Matsuyoshi, Asuka Sumida, Shouko Masuda, Kentaro Inui, Yuji Matsumoto:
Statement map: assisting information crediblity analysis by visualizing arguments. WICOW 2009: 43-50 - 2008
- [j9]Hisashi Miyamori, Susumu Akamine, Yoshikiyo Kato, Ken Kaneiwa, Kaoru Sumi, Kentaro Inui, Sadao Kurohashi:
Evaluation data and prototype system WISDOM for information credibility analysis. Internet Res. 18(2): 155-164 (2008) - [j8]Yoshikiyo Kato, Sadao Kurohashi, Kentaro Inui:
Classifying information sender of web documents. Internet Res. 18(2): 191-203 (2008) - [c34]Yoshikiyo Kato, Daisuke Kawahara, Kentaro Inui, Sadao Kurohashi, Tomohide Shibata:
Extracting the author of web pages. WICOW 2008: 35-42 - [c33]Shuya Abe, Kentaro Inui, Yuji Matsumoto:
Two-Phased Event Relation Acquisition: Coupling the Relation-Oriented and Argument-Oriented Approaches. COLING 2008: 1-8 - [c32]Ryoko Tokuhisa, Kentaro Inui, Yuji Matsumoto:
Emotion Classification Using Massive Examples Extracted from the Web. COLING 2008: 881-888 - [c31]Shuya Abe, Kentaro Inui, Yuji Matsumoto:
Acquiring Event Relation Knowledge by Learning Cooccurrence Patterns and Fertilizing Cooccurrence Samples with Verbal Nouns. IJCNLP 2008: 497-504 - [c30]Sadao Kurohashi, Susumu Akamine, Daisuke Kawahara, Yoshikiyo Kato, Tetsuji Nakagawa, Kentaro Inui, Yutaka Kidawara:
Information Credibility Analysis of Web Contents. ISUC 2008: 146-153 - [c29]Tetsuji Nakagawa, Takuya Kawada, Kentaro Inui, Sadao Kurohashi:
Extracting Subjective and Objective Evaluative Expressions from the Web. ISUC 2008: 251-258 - [c28]Susumu Akamine, Yoshikiyo Kato, Kentaro Inui, Sadao Kurohashi:
Using Appearance Information for Web Information Credibility Analysis. ISUC 2008: 363-365 - [c27]Suguru Matsuyoshi, Koji Murakami, Yuji Matsumoto, Kentaro Inui:
A Database of Relations between Predicate Argument Structures for Recognizing Textual Entailment and Contradiction. ISUC 2008: 366-373 - [c26]Kentaro Inui, Shuya Abe, Kazuo Hara, Hiraku Morita, Chitose Sao, Megumi Eguchi, Asuka Sumida, Koji Murakami, Suguru Matsuyoshi:
Experience Mining: Building a Large-Scale Database of Personal Experiences and Opinions from Web Documents. Web Intelligence 2008: 314-321 - [c25]Daisuke Kawahara, Sadao Kurohashi, Kentaro Inui:
Grasping Major Statements and Their Contradictions Toward Information Credibility Analysis of Web Contents. Web Intelligence 2008: 393-397 - 2007
- [j7]Nozomi Kobayashi, Kentaro Inui, Yuji Matsumoto:
Opinion Mining from Web Documents: Extraction and Structurization. Inf. Media Technol. 2(1): 326-337 (2007) - [j6]Ryu Iida, Kentaro Inui, Yuji Matsumoto:
Zero-anaphora resolution by learning rich syntactic pattern features. ACM Trans. Asian Lang. Inf. Process. 6(4): 1:1-1:22 (2007) - [c24]Ryu Iida, Mamoru Komachi, Kentaro Inui, Yuji Matsumoto:
Annotating a Japanese Text Corpus with Predicate-Argument and Coreference Relations. LAW@ACL 2007: 132-139 - [c23]Nozomi Kobayashi, Kentaro Inui, Yuji Matsumoto:
Extracting Aspect-Evaluation and Aspect-Of Relations in Opinion Mining. EMNLP-CoNLL 2007: 1065-1074 - [e1]Satoshi Sekine, Kentaro Inui, Ido Dagan, Bill Dolan, Danilo Giampiccolo, Bernardo Magnini:
Proceedings of the ACL-PASCAL@ACL 2007 Workshop on Textual Entailment and Paraphrasing, Prague, Czech Republic, June 28-29, 2007. Association for Computational Linguistics 2007 [contents] - 2006
- [c22]Nozomi Kobayashi, Ryu Iida, Kentaro Inui, Yuji Matsumoto:
Opinion Mining on the Web by Extracting Subject-Aspect-Evaluation Relations. AAAI Spring Symposium: Computational Approaches to Analyzing Weblogs 2006: 86-91 - [c21]Ryu Iida, Kentaro Inui, Yuji Matsumoto:
Exploiting Syntactic Patterns as Clues in Zero-Anaphora Resolution. ACL 2006 - [c20]Kentaro Inui, Toru Hirano, Ryu Iida, Atsushi Fujita, Yuji Matsumoto:
Augmenting a Semantic Verb Lexicon with a Large Scale Collection of Example Sentences. LREC 2006: 365-368 - 2005
- [j5]Ryu Iida, Kentaro Inui, Yuji Matsumoto:
Anaphora resolution by antecedent identification followed by anaphoricity determination. ACM Trans. Asian Lang. Inf. Process. 4(4): 417-434 (2005) - [j4]Takashi Inui, Kentaro Inui, Yuji Matsumoto:
Acquiring causal knowledge from text using the connective marker tame. ACM Trans. Asian Lang. Inf. Process. 4(4): 435-474 (2005) - [c19]Atsushi Fujita, Kentaro Inui:
A Class-oriented Approach to Building a Paraphrase Corpus. IWP@IJCNLP 2005 - [c18]Atsushi Fujita, Kentaro Inui, Yuji Matsumoto:
Exploiting Lexical Conceptual Structure for Paraphrase Generation. IJCNLP 2005: 908-919 - [c17]Nozomi Kobayashi, Ryu Iida, Kentaro Inui, Yuji Matsumoto:
Opinion Extraction Using a Learning-Based Anaphora Resolution Technique. IJCNLP (companion) 2005 - [c16]Nozomi Kobayashi, Ryu Iida, Kentaro Inui, Yuji Matsumoto:
Opinion Mining as Extraction of Attribute-Value Relations. JSAI Workshops 2005: 470-481 - 2004
- [c15]Atsushi Fujita, Kentaro Inui, Yuji Matsumoto:
Detection of Incorrect Case Assignments in Paraphrase Generation. IJCNLP 2004: 555-565 - [c14]Nozomi Kobayashi, Kentaro Inui, Yuji Matsumoto, Kenji Tateishi, Toshikazu Fukushima:
Collecting Evaluative Expressions for Opinion Extraction. IJCNLP 2004: 596-605 - [c13]Tetsuro Takahashi, Kozo Nawata, Kentaro Inui, Yuji Matsumoto:
NAIST QA System for QAC2. NTCIR 2004 - 2003
- [j3]Kentaro Inui, Shun'ichi Kaneko, Satoru Igarashi:
Robust line fitting using LMedS clustering. Syst. Comput. Jpn. 34(14): 92-100 (2003) - [c12]Kentaro Inui, Atsushi Fujita, Tetsuro Takahashi, Ryu Iida, Tomoya Iwakura:
Text Simplification for Reading Assistance: A Project Note. IWP@ACL 2003: 9-16 - [c11]Takashi Inui, Kentaro Inui, Yuji Matsumoto:
What Kinds and Amounts of Causal Knowledge Can Be Acquired from Text by Using Connective Markers as Clues? Discovery Science 2003: 180-193 - 2002
- [c10]Tetsuro Takahashi, Kozo Nawata, Kentaro Inui, Shinya Kouda:
Applying Structural Matching and Paraphrasing. NTCIR 2002 - 2001
- [c9]Kentaro Inui, Masaru Nogami:
A Paraphrase-Based Exploration of Cohesiveness Criteria. EWNLG@ACL 2001 - [c8]Kentaro Inui, Satomi Yamamoto:
Corpus-Based Acquisition of Sentence Readability Ranking Models for Deaf People. NLPRS 2001: 159-166 - [c7]Ryu Iida, Kentaro Inui, Tomoya Iwakura, Atsushi Fujita, Tetsuro Takahashi:
Kura: A Lexico-Structural Paraphrasing Engine. NLPRS 2001: 763-764 - 2000
- [c6]Takashi Inui, Kentaro Inui:
Committee-based Decision Making in Probabiiistic Partial Parsing. COLING 2000: 348-354
1990 – 1999
- 1999
- [i2]Atsushi Fujii, Kentaro Inui, Takenobu Tokunaga, Hozumi Tanaka:
Selective Sampling for Example-based Word Sense Disambiguation. CoRR cs.CL/9910020 (1999) - 1998
- [j2]Atsushi Fujii, Kentaro Inui, Takenobu Tokunaga, Hozumi Tanaka:
Selective Sampling for Example-based Word Sense Disambiguation. Comput. Linguistics 24(4): 573-597 (1998) - [c5]Kiyoaki Shirai, Kentaro Inui, Takenobu Tokunaga, Hozumi Tanaka:
An Empirical Evaluation on Statistical Parsing of Japanese Sentences Using Lexical Association Statistics. EMNLP 1998: 80-86 - 1997
- [i1]Atsushi Fujii, Kentaro Inui, Takenobu Tokunaga, Hozumi Tanaka:
Selective Sampling of Effective Example Sentence Sets for Word Sense Disambiguation. CoRR cmp-lg/9702010 (1997) - 1996
- [j1]Kentaro Inui, Takenobu Tokunaga, Hozumi Tanaka:
Dependency-Directed Control of Text Generation Using Functional Unification Grammar. New Gener. Comput. 14(2): 169-193 (1996) - [c4]Atsushi Fujii, Kentaro Inui, Takenobu Tokunaga, Hozumi Tanaka:
Selective Sampling of Effective Example Sentence Sets for Word Sense Disambiguation. VLC@COLING 1996 - [c3]Atsushi Fujii, Kentaro Inui, Takenobu Tokunaga, Hozumi Tanaka:
To what extent does case contribute to verb sense disambiguation? COLING 1996: 59-64 - [c2]Kentaro Inui:
The Internet a "natural" channel for language learning. COLING 1996: 1012-1013 - 1992
- [c1]Kentaro Inui, Takenobu Tokunaga, Hozumi Tanaka:
Text Revision: A Model and Its Implementation. NLG 1992: 215-230
Coauthor Index
[c177] [i55] [j23] [c139] [i32] [j22] [c131] [c127] [c126] [c121] [c119] [j19] [j18] [j17] [c117] [c116] [c114] [c113] [c109] [c108] [c106] [c104] [i13] [i12] [i11] [i9] [i8] [j16] [c103] [c102] [c101] [c100] [c98] [c97] [c95] [c94] [c93] [c92] [c91] [c90] [c89] [i5] [c87] [c86] [c84] [c82] [i4] [j14] [c81] [c80] [c79] [c76] [c75] [c74] [c73] [c70] [c65] [j12] [c62] [c60]
[c221] [c220] [i94] [i87] [i86] [j29] [j28] [c205] [c201] [i78] [c199] [c198] [c192] [c186] [i71] [i70] [i69] [i67] [i66] [j27] [j25] [c179] [i57] [i53] [j24] [c170] [c169] [c168] [c167] [c166] [c164] [c160] [c158] [c157] [c156] [c155] [c154] [i50] [i49] [i48] [i46] [i45] [i44] [i43] [i39] [i38] [i34] [i33] [c151] [c149] [c144] [c143] [c142] [c141] [c140] [c137] [c135] [i28] [i27] [i26] [i23] [c126] [c125] [c119] [i16] [i15] [i8]
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