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This is just a disambiguation page, and is not intended to be the bibliography of an actual person. Any publication listed on this page has not been assigned to an actual author yet. If you know the true author of one of the publications listed below, you are welcome to contact us.
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2020 – today
- 2022
[c112]Shumpei Miyawaki, Taku Hasegawa, Kyosuke Nishida, Takuma Kato, Jun Suzuki:
Scene-Text Aware Image and Text Retrieval with Dual-Encoder. ACL (student) 2022: 422-433- [c111]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 - [c110]Yosuke Kishinami, Reina Akama, Shiki Sato, Ryoko Tokuhisa, Jun Suzuki, Kentaro Inui:
Target-Guided Open-Domain Conversation Planning. COLING 2022: 660-668 - [c109]Shiki Sato, Yosuke Kishinami, Hiroaki Sugiyama, Reina Akama, Ryoko Tokuhisa, Jun Suzuki:
Bipartite-play Dialogue Collection for Practical Automatic Evaluation of Dialogue Systems. AACL/IJCNLP 2022 (Student Research Workshop) 2022: 8-16 - [c108]Makoto Morishita, Katsuki Chousa, Jun Suzuki, Masaaki Nagata:
JParaCrawl v3.0: A Large-scale English-Japanese Parallel Corpus. LREC 2022: 6704-6710 - [c107]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 - [c106]Go Otsuru, Hiroyuki Tsuji, Ryu Miura, Jun Suzuki, Yoshihisa Kishiyama:
Efficient Antenna Tracking Algorithm for HAPS Ground Station in Millimeter-Wave. WPMC 2022: 261-266 - [i40]Makoto Morishita, Katsuki Chousa, Jun Suzuki, Masaaki Nagata:
JParaCrawl v3.0: A Large-scale English-Japanese Parallel Corpus. CoRR abs/2202.12607 (2022) - [i39]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) - [i38]Sosuke Kobayashi, Shun Kiyono, Jun Suzuki, Kentaro Inui:
Diverse Lottery Tickets Boost Ensemble from a Single Pretrained Model. CoRR abs/2205.11833 (2022) - [i37]Sho Takase, Shun Kiyono, Sosuke Kobayashi, Jun Suzuki:
On Layer Normalizations and Residual Connections in Transformers. CoRR abs/2206.00330 (2022) - [i36]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) - [i35]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) - [i34]Yosuke Kishinami, Reina Akama, Shiki Sato, Ryoko Tokuhisa, Jun Suzuki, Kentaro Inui:
Target-Guided Open-Domain Conversation Planning. CoRR abs/2209.09746 (2022) - [i33]Makoto Morishita, Jun Suzuki, Masaaki Nagata:
Domain Adaptation of Machine Translation with Crowdworkers. CoRR abs/2210.15861 (2022) - [i32]Shiki Sato, Yosuke Kishinami, Hiroaki Sugiyama, Reina Akama, Ryoko Tokuhisa, Jun Suzuki:
Bipartite-play Dialogue Collection for Practical Automatic Evaluation of Dialogue Systems. CoRR abs/2211.10596 (2022) - 2021
- [j18]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) - [j17]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) - [c105]Hiromu Kitanozono, Jun Suzuki, Yoshihisa Kishiyama, Yuki Hokazono, Takayuki Sotoyama, Mikihiro Ouchi, Ryu Miura, Hiroyuki Tsuji:
Development of High Altitude Platform Station Backhaul System Using 38GHz Band Frequency. APWCS 2021: 1-5 - [c104]Makoto Morishita, Jun Suzuki, Tomoharu Iwata, Masaaki Nagata:
Context-aware Neural Machine Translation with Mini-batch Embedding. EACL 2021: 2513-2521 - [c103]Shun Kiyono, Sosuke Kobayashi, Jun Suzuki, Kentaro Inui:
SHAPE : Shifted Absolute Position Embedding for Transformers. EMNLP (1) 2021: 3309-3321 - [c102]Yutaka Watanobe, Md. Mostafizer Rahman, Alexander Vazhenin, Jun Suzuki:
Adaptive User Interface for Smart Programming Exercise. TALE 2021: 1-7 - [c101]Ryu Miura, Takashi Matsuda, Fumie Ono, Takeshi Matsumura, Jun Suzuki, Tetsumi Takamori:
A Study on Spectrum Sharing for the User and Feeder Links of Command and Telemetry Communications for UAVs Using a High Altitude Relay System. WPMC 2021: 1-5 - [c100]Takuya Okura, Hiroyuki Tsuji, Ryu Miura, Tomoshige Kan, Takashi Matsuda, Morio Toyoshima, Jun Suzuki, Yoshihisa Kishiyama:
Prototype Evaluation of the 38GHz-band Lens Antenna for High Altitude Platform Station (HAPS) Ground Station System. WPMC 2021: 1-5 - [i31]Sewon Min, Jordan L. Boyd-Graber, Chris Alberti, Danqi Chen, Eunsol Choi, Michael Collins, Kelvin Guu, Hannaneh Hajishirzi, Kenton Lee, Jennimaria Palomaki, Colin Raffel, Adam Roberts, Tom Kwiatkowski, Patrick S. H. Lewis, Yuxiang Wu, Heinrich Küttler, Linqing Liu, Pasquale Minervini, Pontus Stenetorp, Sebastian Riedel, Sohee Yang, Minjoon Seo, Gautier Izacard, Fabio Petroni, Lucas Hosseini, Nicola De Cao, Edouard Grave, Ikuya Yamada, Sonse Shimaoka, Masatoshi Suzuki, Shumpei Miyawaki, Shun Sato, Ryo Takahashi, Jun Suzuki, Martin Fajcik, Martin Docekal, Karel Ondrej, Pavel Smrz, Hao Cheng, Yelong Shen, Xiaodong Liu, Pengcheng He, Weizhu Chen, Jianfeng Gao, Barlas Oguz, Xilun Chen, Vladimir Karpukhin, Stan Peshterliev, Dmytro Okhonko, Michael Sejr Schlichtkrull, Sonal Gupta, Yashar Mehdad, Wen-tau Yih:
NeurIPS 2020 EfficientQA Competition: Systems, Analyses and Lessons Learned. CoRR abs/2101.00133 (2021) - [i30]Yasufumi Taniguchi, Hiroki Nakayama, Takahiro Kubo, Jun Suzuki:
An Investigation Between Schema Linking and Text-to-SQL Performance. CoRR abs/2102.01847 (2021) - [i29]Shun Kiyono, Sosuke Kobayashi, Jun Suzuki, Kentaro Inui:
SHAPE: Shifted Absolute Position Embedding for Transformers. CoRR abs/2109.05644 (2021) - [i28]Hiroki Ouchi, Jun Suzuki, Sosuke Kobayashi, Sho Yokoi, Tatsuki Kuribayashi, Masashi Yoshikawa, Kentaro Inui:
Instance-Based Neural Dependency Parsing. CoRR abs/2109.13497 (2021) - 2020
- [j16]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) - [c99]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 - [c98]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 - [c97]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 - [c96]Shiki Sato, Reina Akama, Hiroki Ouchi, Jun Suzuki, Kentaro Inui:
Evaluating Dialogue Generation Systems via Response Selection. ACL 2020: 593-599 - [c95]Ryosuke Kuwabara, Jun Suzuki, Hideki Nakayama:
Single Model Ensemble using Pseudo-Tags and Distinct Vectors. ACL 2020: 3006-3013 - [c94]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 - [c93]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 - [c92]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 - [c91]Sosuke Kobayashi, Sho Yokoi, Jun Suzuki, Kentaro Inui:
Efficient Estimation of Influence of a Training Instance. SustaiNLP@EMNLP 2020: 41-47 - [c90]Takumi Ito, Tatsuki Kuribayashi, Masatoshi Hidaka, Jun Suzuki, Kentaro Inui:
Langsmith: An Interactive Academic Text Revision System. EMNLP (Demos) 2020: 216-226 - [c89]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 - [c88]Reina Akama, Sho Yokoi, Jun Suzuki, Kentaro Inui:
Filtering Noisy Dialogue Corpora by Connectivity and Content Relatedness. EMNLP (1) 2020: 941-958 - [c87]Sho Yokoi, Ryo Takahashi, Reina Akama, Jun Suzuki, Kentaro Inui:
Word Rotator's Distance. EMNLP (1) 2020: 2944-2960 - [c86]Makoto Morishita, Jun Suzuki, Masaaki Nagata:
JParaCrawl: A Large Scale Web-Based English-Japanese Parallel Corpus. LREC 2020: 3603-3609 - [c85]Diangang Li, Jianquan Liu, Shoji Nishimura, Yuka Hayashi, Jun Suzuki, Yihong Gong:
Multi-Person Action Recognition in Microwave Sensors. ACM Multimedia 2020: 411-420 - [c84]Sewon Min, Jordan L. Boyd-Graber, Chris Alberti, Danqi Chen, Eunsol Choi, Michael Collins, Kelvin Guu, Hannaneh Hajishirzi, Kenton Lee, Jennimaria Palomaki, Colin Raffel, Adam Roberts, Tom Kwiatkowski, Patrick S. H. Lewis, Yuxiang Wu, Heinrich Küttler, Linqing Liu, Pasquale Minervini, Pontus Stenetorp, Sebastian Riedel, Sohee Yang, Minjoon Seo, Gautier Izacard, Fabio Petroni, Lucas Hosseini, Nicola De Cao, Edouard Grave, Ikuya Yamada, Sonse Shimaoka, Masatoshi Suzuki, Shumpei Miyawaki, Shun Sato, Ryo Takahashi, Jun Suzuki, Martin Fajcik, Martin Docekal, Karel Ondrej, Pavel Smrz, Hao Cheng, Yelong Shen, Xiaodong Liu, Pengcheng He, Weizhu Chen, Jianfeng Gao, Barlas Oguz, Xilun Chen, Vladimir Karpukhin, Stan Peshterliev, Dmytro Okhonko, Michael Sejr Schlichtkrull, Sonal Gupta, Yashar Mehdad, Wen-tau Yih:
NeurIPS 2020 EfficientQA Competition: Systems, Analyses and Lessons Learned. NeurIPS (Competition and Demos) 2020: 86-111 - [c83]Shun Kiyono, Takumi Ito, Ryuto Konno, Makoto Morishita, Jun Suzuki:
Tohoku-AIP-NTT at WMT 2020 News Translation Task. WMT@EMNLP 2020: 145-155 - [i27]Reina Akama, Sho Yokoi, Jun Suzuki, Kentaro Inui:
Utterance Pair Scoring for Noisy Dialogue Data Filtering. CoRR abs/2004.14008 (2020) - [i26]Shiki Sato, Reina Akama, Hiroki Ouchi, Jun Suzuki, Kentaro Inui:
Evaluating Dialogue Generation Systems via Response Selection. CoRR abs/2004.14302 (2020) - [i25]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) - [i24]Sho Yokoi, Ryo Takahashi, Reina Akama, Jun Suzuki, Kentaro Inui:
Word Rotator's Distance: Decomposing Vectors Gives Better Representations. CoRR abs/2004.15003 (2020) - [i23]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) - [i22]Ryosuke Kuwabara, Jun Suzuki, Hideki Nakayama:
Single Model Ensemble using Pseudo-Tags and Distinct Vectors. CoRR abs/2005.00879 (2020) - [i21]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) - [i20]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) - [i19]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) - [i18]Takumi Ito, Tatsuki Kuribayashi, Masatoshi Hidaka, Jun Suzuki, Kentaro Inui:
Langsmith: An Interactive Academic Text Revision System. CoRR abs/2010.04332 (2020) - [i17]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) - [i16]Sosuke Kobayashi, Sho Yokoi, Jun Suzuki, Kentaro Inui:
Efficient Estimation of Influence of a Training Instance. CoRR abs/2012.04207 (2020)
2010 – 2019
- 2019
- [j15]Jun Suzuki:
Information Geometrical Characterization of Quantum Statistical Models in Quantum Estimation Theory. Entropy 21(7): 703 (2019) - [j14]Jun Suzuki, Yoshihiko Suhara, Hiroyuki Toda, Kyosuke Nishida:
Personalized Visited-POI Assignment to Individual Raw GPS Trajectories. ACM Trans. Spatial Algorithms Syst. 5(3): 16:1-16:28 (2019) - [c82]Shun Kiyono, Jun Suzuki, Kentaro Inui:
Mixture of Expert/Imitator Networks: Scalable Semi-Supervised Learning Framework. AAAI 2019: 4073-4081 - [c81]Sho Takase, Jun Suzuki, Masaaki Nagata:
Character n-Gram Embeddings to Improve RNN Language Models. AAAI 2019: 5074-5082 - [c80]Motoki Sato, Jun Suzuki, Shun Kiyono:
Effective Adversarial Regularization for Neural Machine Translation. ACL (1) 2019: 204-210 - [c79]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 - [c78]Makoto Morishita, Jun Suzuki, Masaaki Nagata:
NTT Neural Machine Translation Systems at WAT 2019. WAT@EMNLP-IJCNLP 2019: 99-105 - [c77]Hiroki Asano, Masato Mita, Tomoya Mizumoto, Jun Suzuki:
The AIP-Tohoku System at the BEA-2019 Shared Task. BEA@ACL 2019: 176-182 - [c76]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 - [c75]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 - [c74]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 - [c73]Hiroki Ouchi, Jun Suzuki, Kentaro Inui:
Transductive Learning of Neural Language Models for Syntactic and Semantic Analysis. EMNLP/IJCNLP (1) 2019: 3663-3669 - [c72]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 - [c71]Hirofumi Inaguma, Shun Kiyono, Nelson Enrique Yalta Soplin, Jun Suzuki, Kevin Duh, Shinji Watanabe:
ESPnet How2 Speech Translation System for IWSLT 2019: Pre-training, Knowledge Distillation, and Going Deeper. IWSLT 2019 - [c70]Shota Sasaki, Jun Suzuki, Kentaro Inui:
Subword-based Compact Reconstruction of Word Embeddings. NAACL-HLT (1) 2019: 3498-3508 - [c69]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 - [i15]Jun Suzuki, Yoshihiko Suhara, Hiroyuki Toda, Kyosuke Nishida:
Personalized Visited-POI Assignment to Individual Raw GPS Trajectories. CoRR abs/1901.06257 (2019) - [i14]Sho Takase, Jun Suzuki, Masaaki Nagata:
Character n-gram Embeddings to Improve RNN Language Models. CoRR abs/1906.05506 (2019) - [i13]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) - [i12]Masato Hagiwara, Takumi Ito, Tatsuki Kuribayashi, Jun Suzuki, Kentaro Inui:
TEASPN: Framework and Protocol for Integrated Writing Assistance Environments. CoRR abs/1909.02621 (2019) - [i11]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) - [i10]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) - [i9]Makoto Morishita, Jun Suzuki, Masaaki Nagata:
JParaCrawl: A Large Scale Web-Based English-Japanese Parallel Corpus. CoRR abs/1911.10668 (2019) - 2018
- [c68]Jun Suzuki, Sho Takase, Hidetaka Kamigaito, Makoto Morishita, Masaaki Nagata:
An Empirical Study of Building a Strong Baseline for Constituency Parsing. ACL (2) 2018: 612-618 - [c67]Makoto Morishita, Jun Suzuki, Masaaki Nagata:
Improving Neural Machine Translation by Incorporating Hierarchical Subword Features. COLING 2018: 618-629 - [c66]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 - [c65]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 - [c64]Sho Takase, Jun Suzuki, Masaaki Nagata:
Direct Output Connection for a High-Rank Language Model. EMNLP 2018: 4599-4609 - [c63]Motoki Sato, Jun Suzuki, Hiroyuki Shindo, Yuji Matsumoto:
Interpretable Adversarial Perturbation in Input Embedding Space for Text. IJCAI 2018: 4323-4330 - [c62]Shun Kiyono, Sho Takase, Jun Suzuki, Naoaki Okazaki, Kentaro Inui, Masaaki Nagata:
Reducing Odd Generation from Neural Headline Generation. PACLIC 2018 - [c61]Makoto Morishita, Jun Suzuki, Masaaki Nagata:
NTT's Neural Machine Translation Systems for WMT 2018. WMT (shared task) 2018: 461-466 - [i8]Motoki Sato, Jun Suzuki, Hiroyuki Shindo, Yuji Matsumoto:
Interpretable Adversarial Perturbation in Input Embedding Space for Text. CoRR abs/1805.02917 (2018) - [i7]Sho Takase, Jun Suzuki, Masaaki Nagata:
Direct Output Connection for a High-Rank Language Model. CoRR abs/1808.10143 (2018) - [i6]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) - [i5]Shun Kiyono, Jun Suzuki, Kentaro Inui:
Mixture of Expert/Imitator Networks: Scalable Semi-supervised Learning Framework. CoRR abs/1810.05788 (2018) - 2017
- [j13]Yoshi-aki Shimada, Naotoshi Tsukada, Jun Suzuki:
Promoting diversity in science in Japan through mission-oriented research grants. Scientometrics 110(3): 1415-1435 (2017) - [j12]Yoshi-aki Shimada, Jun Suzuki:
Promoting scientodiversity inspired by biodiversity. Scientometrics 113(3): 1463-1479 (2017) - [c60]Naoki Mizukami, Jun Suzuki, Hirotaka Kameko, Yoshimasa Tsuruoka:
Exploration Bonuses Based on Upper Confidence Bounds for Sparse Reward Games. ACG 2017: 165-175 - [c59]Makoto Morishita, Jun Suzuki, Masaaki Nagata:
NTT Neural Machine Translation Systems at WAT 2017. WAT@IJCNLP 2017: 89-94 - [c58]Jun Suzuki, Yuki Hayashi, Masaki Kan, Shinya Miyakawa, Takashi Takenaka, Takuya Araki, Masaru Kitsuregawa:
Victream: Computing Framework for Out-of-Core Processing on Multiple GPUs. BDCAT 2017: 179-188 - [c57]Jun Suzuki, Masaaki Nagata:
Cutting-off Redundant Repeating Generations for Neural Abstractive Summarization. EACL (2) 2017: 291-297 - [c56]Tsutomu Hirao, Masaaki Nishino, Jun Suzuki, Masaaki Nagata:
Enumeration of Extractive Oracle Summaries. EACL (1) 2017: 386-396 - [c55]Hirotaka Kameko, Jun Suzuki, Naoki Mizukami, Yoshimasa Tsuruoka:
Deep Reinforcement Learning with Hidden Layers on Future States. CGW@IJCAI 2017: 46-60 - [c54]Sho Takase, Jun Suzuki, Masaaki Nagata:
Input-to-Output Gate to Improve RNN Language Models. IJCNLP(2) 2017: 43-48 - [c53]Itsumi Saito, Jun Suzuki, Kyosuke Nishida, Kugatsu Sadamitsu, Satoshi Kobashikawa, Ryo Masumura, Yuji Matsumoto, Junji Tomita:
Improving Neural Text Normalization with Data Augmentation at Character- and Morphological Levels. IJCNLP(2) 2017: 257-262 - [i4]Jun Suzuki, Masaaki Nagata:
RNN-based Encoder-decoder Approach with Word Frequency Estimation. CoRR abs/1701.00138 (2017) - [i3]Tsutomu Hirao, Masaaki Nishino, Jun Suzuki, Masaaki Nagata:
Enumeration of Extractive Oracle Summaries. CoRR abs/1701.01614 (2017) - [i2]Sho Takase, Jun Suzuki, Masaaki Nagata:
Input-to-Output Gate to Improve RNN Language Models. CoRR abs/1709.08907 (2017) - [i1]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
- [j11]Jun Suzuki, Yoichi Hidaka, Junichi Higuchi, Yuki Hayashi, Masaki Kan, Takashi Yoshikawa:
Disaggregation and Sharing of I/O Devices in Cloud Data Centers. IEEE Trans. Computers 65(10): 3013-3026 (2016) - [c52]Masaaki Nishino, Jun Suzuki, Masaaki Nagata:
Phrase Table Pruning via Submodular Function Maximization. ACL (2) 2016 - [c51]Jun Suzuki, Akira Tsuji, Yuki Hayashi, Masaki Kan, Shinya Miyakawa:
Device-Level IoT with Virtual I/O Device Interconnection. CloudCom 2016: 67-74 - [c50]Hideya Ochiai, Kurt Geihs, Susumu Takeuchi, Jun Suzuki:
Message from the BIOT Workshop Organizers. COMPSAC Workshops 2016: 325 - [c49]Sho Takase, Jun Suzuki, Naoaki Okazaki, Tsutomu Hirao, Masaaki Nagata:
Neural Headline Generation on Abstract Meaning Representation. EMNLP 2016: 1054-1059 - [c48]Yuki Hayashi, Jun Suzuki, Masaki Kan, Takashi Yoshikawa, Shinya Miyakawa:
Delay-bounded transport using rateless codes for I/O bus over wireless ethernet. ICC 2016: 1-6 - [c47]Jun Suzuki, Masaaki Nagata:
Learning Compact Neural Word Embeddings by Parameter Space Sharing. IJCAI 2016: 2046-2052 - [c46]