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2020 – today
- 2024
[c219]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- [c218]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 - [c217]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 - [c216]Goro Kobayashi, Tatsuki Kuribayashi, Sho Yokoi, Kentaro Inui:
Analyzing Feed-Forward Blocks in Transformers through the Lens of Attention Maps. ICLR 2024 - [i93]Kosuke Matsuzaki, Masaya Taniguchi, Kentaro Inui, Keisuke Sakaguchi:
J-UniMorph: Japanese Morphological Annotation through the Universal Feature Schema. CoRR abs/2402.14411 (2024) - [i92]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) - [i91]Benjamin Heinzerling, Kentaro Inui:
Monotonic Representation of Numeric Properties in Language Models. CoRR abs/2403.10381 (2024) - [i90]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) - [i89]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) - [i88]Ana Brassard, Benjamin Heinzerling, Keito Kudo, Keisuke Sakaguchi, Kentaro Inui:
ACORN: Aspect-wise Commonsense Reasoning Explanation Evaluation. CoRR abs/2405.04818 (2024) - [i87]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) - [i86]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) - [i85]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) - 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) - [c215]Haruki Nagasawa, Benjamin Heinzerling, Kazuma Kokuta, Kentaro Inui:
Can LMs Store and Retrieve 1-to-N Relational Knowledge? ACL (student) 2023: 130-138 - [c214]Goro Kobayashi, Tatsuki Kuribayashi, Sho Yokoi, Kentaro Inui:
Transformer Language Models Handle Word Frequency in Prediction Head. ACL (Findings) 2023: 4523-4535 - [c213]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 - [c212]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 - [c211]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 - [c210]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 - [c209]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 - [c208]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 - [c207]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 - [c206]Go Kamoda, Benjamin Heinzerling, Keisuke Sakaguchi, Kentaro Inui:
Test-time Augmentation for Factual Probing. EMNLP (Findings) 2023: 3650-3661 - [c205]Hiroto Kurita, Goro Kobayashi, Sho Yokoi, Kentaro Inui:
Contrastive Learning-based Sentence Encoders Implicitly Weight Informative Words. EMNLP (Findings) 2023: 10932-10947 - [c204]Ikumi Ito, Takumi Ito, Jun Suzuki, Kentaro Inui:
Investigating the Effectiveness of Multiple Expert Models Collaboration. EMNLP (Findings) 2023: 14393-14404 - [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]