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2020 – today
- 2024
[c39]Yuting Shi, Naoya Inoue, Houjing Wei, Yufeng Zhao, Tao Jin:
Find-the-Common: A Benchmark for Explaining Visual Patterns from Images. LREC/COLING 2024: 7307-7313- [c38]Ai Ishii, Naoya Inoue, Hisami Suzuki, Satoshi Sekine:
JEMHopQA: Dataset for Japanese Explainable Multi-Hop Question Answering. LREC/COLING 2024: 9515-9525 - [c37]Shohei Higashiyama, Hiroki Ouchi, Hiroki Teranishi, Hiroyuki Otomo, Yusuke Ide, Aitaro Yamamoto, Hiroyuki Shindo, Yuki Matsuda, Shoko Wakamiya, Naoya Inoue, Ikuya Yamada, Taro Watanabe:
Arukikata Travelogue Dataset with Geographic Entity Mention, Coreference, and Link Annotation. EACL (Findings) 2024: 513-532 - [i22]Yufeng Zhao
, Yoshihiro Sakai, Naoya Inoue:
NoisyICL: A Little Noise in Model Parameters Calibrates In-context Learning. CoRR abs/2402.05515 (2024) - [i21]Hakaze Cho, Yoshihiro Sakai, Kenshiro Tanaka, Mariko Kato, Naoya Inoue:
Understanding Token Probability Encoding in Output Embeddings. CoRR abs/2406.01468 (2024) - [i20]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) - [i19]Hakaze Cho, Yoshihiro Sakai, Mariko Kato, Kenshiro Tanaka, Akira Ishii, Naoya Inoue:
Token-based Decision Criteria Are Suboptimal in In-context Learning. CoRR abs/2406.16535 (2024) - [i18]Dang Huu-Tien, Trung-Tin Pham, Hoang Thanh-Tung, Naoya Inoue:
On Effects of Steering Latent Representation for Large Language Model Unlearning. CoRR abs/2408.06223 (2024) - 2023
- [c36]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 - [c35]Daichi Haraguchi, Kiyoaki Shirai, Naoya Inoue, Natthawut Kertkeidkachorn:
Discovering Highly Influential Shortcut Reasoning: An Automated Template-Free Approach. EMNLP (Findings) 2023: 6401-6407 - [c34]Hoai Linh Luu, Naoya Inoue:
Counterfactual Adversarial Training for Improving Robustness of Pre-trained Language Models. PACLIC 2023: 881-888 - [i17]Hiroki Ouchi, Hiroyuki Shindo, Shoko Wakamiya, Yuki Matsuda, Naoya Inoue, Shohei Higashiyama, Satoshi Nakamura, Taro Watanabe:
Arukikata Travelogue Dataset. CoRR abs/2305.11444 (2023) - [i16]Shohei Higashiyama, Hiroki Ouchi, Hiroki Teranishi, Hiroyuki Otomo, Yusuke Ide, Aitaro Yamamoto, Hiroyuki Shindo, Yuki Matsuda, Shoko Wakamiya, Naoya Inoue, Ikuya Yamada, Taro Watanabe:
Arukikata Travelogue Dataset with Geographic Entity Mention, Coreference, and Link Annotation. CoRR abs/2305.13844 (2023) - [i15]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) - [i14]Daichi Haraguchi, Kiyoaki Shirai, Naoya Inoue, Natthawut Kertkeidkachorn:
Discovering Highly Influential Shortcut Reasoning: An Automated Template-Free Approach. CoRR abs/2312.09718 (2023) - 2022
- [c33]Naoya Inoue, Charuta Pethe, Allen Kim, Steven Skiena:
Learning and Evaluating Character Representations in Novels. ACL (Findings) 2022: 1008-1019 - [c32]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 - [c31]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 - [c30]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 - [i13]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) - [i12]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) - 2021
- [j8]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) - [c29]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 - [c28]Qin Dai, Naoya Inoue, Ryo Takahashi, Kentaro Inui:
Two Training Strategies for Improving Relation Extraction over Universal Graph. EACL 2021: 3673-3684 - [c27]Allen Kim, Charuta Pethe, Naoya Inoue, Steven Skiena:
Cleaning Dirty Books: Post-OCR Processing for Previously Scanned Texts. EMNLP (Findings) 2021: 4217-4226 - [c26]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 - [i11]Qin Dai, Naoya Inoue, Ryo Takahashi, Kentaro Inui:
Two Training Strategies for Improving Relation Extraction over Universal Graph. CoRR abs/2102.06540 (2021) - [i10]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) - [i9]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) - [i8]Allen Kim, Charuta Pethe, Naoya Inoue, Steven Skiena:
Cleaning Dirty Books: Post-OCR Processing for Previously Scanned Texts. CoRR abs/2110.11934 (2021) - [i7]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
- [c25]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 - [c24]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 - [i6]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) - [i5]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)
2010 – 2019
- 2019
- [j7]Tadahiro Taniguchi, Daichi Mochihashi, Takayuki Nagai, Satoru Uchida, Naoya Inoue, Ichiro Kobayashi, Tomoaki Nakamura, Yoshinobu Hagiwara, Naoto Iwahashi, Tetsunari Inamura:
Survey on frontiers of language and robotics. Adv. Robotics 33(15-16): 700-730 (2019) - [c23]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 - [c22]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 - [c21]Tianqi Wang, Naoya Inoue, Hiroki Ouchi, Tomoya Mizumoto, Kentaro Inui:
Inject Rubrics into Short Answer Grading System. DeepLo@EMNLP-IJCNLP 2019: 175-182 - [c20]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 - [i4]Paul Reisert, Benjamin Heinzerling, Naoya Inoue, Shun Kiyono, Kentaro Inui:
Riposte! A Large Corpus of Counter-Arguments. CoRR abs/1910.03246 (2019) - [i3]Naoya Inoue, Pontus Stenetorp, Kentaro Inui:
RC-QED: Evaluating Natural Language Derivations in Multi-Hop Reading Comprehension. CoRR abs/1910.04601 (2019) - [i2]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) - 2018
- [j6]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) - [c19]Paul Reisert, Naoya Inoue, Tatsuki Kuribayashi, Kentaro Inui:
Feasible Annotation Scheme for Capturing Policy Argument Reasoning using Argument Templates. ArgMining@EMNLP 2018: 79-89 - [c18]Qin Dai, Naoya Inoue, Paul Reisert, Kentaro Inui:
Improving Scientific Relation Classification with Task Specific Supersense. PACLIC 2018 - 2017
- [c17]Melissa Roemmele, Sosuke Kobayashi, Naoya Inoue, Andrew Gordon:
An RNN-based Binary Classifier for the Story Cloze Test. LSDSem@EACL 2017: 74-80 - [c16]Naoya Inoue, Andrew S. Gordon:
A Scalable Weighted Max-SAT Implementation of Propositional Etcetera Abduction. FLAIRS 2017: 62-67 - [c15]Reina Akama, Kazuaki Inada, Naoya Inoue, Sosuke Kobayashi, Kentaro Inui:
Generating Stylistically Consistent Dialog Responses with Transfer Learning. IJCNLP(2) 2017: 408-412 - [c14]Shota Sasaki, Sho Takase, Naoya Inoue, Naoaki Okazaki, Kentaro Inui:
Handling Multiword Expressions in Causality Estimation. IWCS(2) 2017 - [c13]Qin Dai, Naoya Inoue, Paul Reisert, Kentaro Inui:
Leveraging Document-Specific Information for Classifying Relations in Scientific Articles. JSAI-isAI Workshops 2017: 355-370 - [i1]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) - 2016
- [c12]Naoya Inoue, Yuichiroh Matsubayashi, Masayuki Ono, Naoaki Okazaki, Kentaro Inui:
Modeling Context-sensitive Selectional Preference with Distributed Representations. COLING 2016: 2829-2838 - 2015
- [c11]Paul Reisert, Naoya Inoue, Naoaki Okazaki, Kentaro Inui:
A Computational Approach for Generating Toulmin Model Argumentation. ArgMining@HLT-NAACL 2015: 45-55 - 2014
- [j5]Naoya Inoue, Kentaro Inui:
ILP-based Inference for Cost-based Abduction on First-order Predicate Logic. Inf. Media Technol. 9(1): 83-110 (2014) - [j4]Norihiko Kawai, Naoya Inoue, Tomokazu Sato, Fumio Okura, Yuta Nakashima, Naokazu Yokoya:
Background Estimation for a Single Omnidirectional Image Sequence Captured with a Moving Camera. Inf. Media Technol. 9(3): 361-365 (2014) - [j3]Norihiko Kawai, Naoya Inoue, Tomokazu Sato, Fumio Okura, Yuta Nakashima, Naokazu Yokoya:
Background Estimation for a Single Omnidirectional Image Sequence Captured with a Moving Camera. IPSJ Trans. Comput. Vis. Appl. 6: 68-72 (2014) - [c10]Canasai Kruengkrai, Naoya Inoue, Jun Sugiura, Kentaro Inui:
An Example-Based Approach to Difficult Pronoun Resolution. PACLIC 2014: 358-367 - 2013
- [c9]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 - [c8]Jun Sugiura, Naoya Inoue, Kentaro Inui:
Recognizing Implicit Discourse Relations through Abductive Reasoning with Large-scale Lexical Knowledge. NLPAR@LPNMR 2013: 76-87 - 2012
- [c7]Naoya Inoue, Ekaterina Ovchinnikova, Kentaro Inui, Jerry R. Hobbs:
Coreference Resolution with ILP-based Weighted Abduction. COLING 2012: 1291-1308 - [c6]Naoya Inoue, Kentaro Inui:
Large-Scale Cost-Based Abduction in Full-Fledged First-Order Predicate Logic with Cutting Plane Inference. JELIA 2012: 281-293 - [c5]Naoya Inoue, Yukihiko Yamashita:
Simultaneous Learning of Localized Multiple Kernels and Classifier with Weighted Regularization. SSPR/SPR 2012: 354-362 - 2011
- [c4]Naoya Inoue, Kentaro Inui:
ILP-Based Reasoning for Weighted Abduction. Plan, Activity, and Intent Recognition 2011 - [c3]Hisataka Maruyama, Naoya Inoue, Taisuke Masuda, Fumihito Arai:
Selective injection and laser manipulation of nanotool inside a specific cell using Optical pH regulation and optical tweezers. ICRA 2011: 2674-2679 - 2010
- [j2]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) - [j1]Joken Son, Naoya Inoue, Yukihiko Yamashita:
Geometrically local isotropic independence and numerical analysis of the Mahalanobis metric in vector space. Pattern Recognit. Lett. 31(8): 709-716 (2010)
2000 – 2009
- 2008
- [c2]Joken Son, Naoya Inoue, Yukihiko Yamashita:
Numerical analysis of Mahalanobis metric in vector space. ICPR 2008: 1-4 - 2006
- [c1]Yukihiko Yamashita, Mariko Numakami, Naoya Inoue:
Maxwell Normal Distribution in a Manifold and Mahalanobis Metric. SSPR/SPR 2006: 604-612
Coauthor Index
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last updated on 2024-10-07 21:19 CEST by the dblp team
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