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2020 – today
- 2023
[i79]Yuta Matsumoto, Benjamin Heinzerling, Masashi Yoshikawa, Kentaro Inui:
Tracing and Manipulating Intermediate Values in Neural Math Problem Solvers. CoRR abs/2301.06758 (2023)- [i78]Goro Kobayashi, Tatsuki Kuribayashi, Sho Yokoi, Kentaro Inui:
Feed-Forward Blocks Control Contextualization in Masked Language Models. CoRR abs/2302.00456 (2023) - [i77]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) - [i76]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) - 2022
- [c197]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 - [c196]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 - [c195]Yosuke Kishinami, Reina Akama, Shiki Sato, Ryoko Tokuhisa, Jun Suzuki, Kentaro Inui:
Target-Guided Open-Domain Conversation Planning. COLING 2022: 660-668 - [c194]Riki Fujihara, Tatsuki Kuribayashi, Kaori Abe, Ryoko Tokuhisa, Kentaro Inui:
Topicalization in Language Models: A Case Study on Japanese. COLING 2022: 851-862 - [c193]Shuhei Kurita, Hiroki Ouchi, Kentaro Inui, Satoshi Sekine:
Iterative Span Selection: Self-Emergence of Resolving Orders in Semantic Role Labeling. COLING 2022: 5383-5397 - [c192]Qin Dai, Benjamin Heinzerling, Kentaro Inui:
Cross-stitching Text and Knowledge Graph Encoders for Distantly Supervised Relation Extraction. EMNLP 2022: 6947-6958 - [c191]Tatsuki Kuribayashi, Yohei Oseki, Ana Brassard, Kentaro Inui:
Context Limitations Make Neural Language Models More Human-Like. EMNLP 2022: 10421-10436 - [c190]Farjana Sultana Mim, Naoya Inoue, Shoichi Naitoh, Keshav Singh, Kentaro Inui:
LPAttack: A Feasible Annotation Scheme for Capturing Logic Pattern of Attacks in Arguments. LREC 2022: 2446-2459 - [c189]Ana Brassard, Benjamin Heinzerling, Pride Kavumba, Kentaro Inui:
COPA-SSE: Semi-structured Explanations for Commonsense Reasoning. LREC 2022: 3994-4000 - [c188]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 - [c187]Shoichi Naitoh, 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 - [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 Naitoh, 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 Naitoh, 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
- [j24]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) - [j23]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) - [j22]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 Naitoh, 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
- [j21]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
- [j20]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]