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2020 – today
- 2024
[c48]Kentaro Ozeki, Risako Ando, Takanobu Morishita, Hirohiko Abe, Koji Mineshima, Mitsuhiro Okada:
Exploring Reasoning Biases in Large Language Models Through Syllogism: Insights from the NeuBAROCO Dataset. ACL (Findings) 2024: 16063-16077- [c47]Ai Kubota, Takuma Sato, Takayuki Amamoto, Ryota Akiyoshi, Koji Mineshima:
Annotation of Japanese Discourse Relations Focusing on Concessive Inferences. LREC/COLING 2024: 1215-1224 - [c46]Risako Ando, Kentaro Ozeki, Takanobu Morishita, Hirohiko Abe, Koji Mineshima, Mitsuhiro Okada:
Can Euler Diagrams Improve Syllogistic Reasoning in Large Language Models? Diagrams 2024: 232-248 - [c45]Yuri Sato
, Ayaka Suzuki, Koji Mineshima:
Building a Large Dataset of Human-Generated Captions for Science Diagrams. Diagrams 2024: 393-401 - [e8]Daisuke Bekki, Koji Mineshima, Elin McCready:
Logic and Engineering of Natural Language Semantics - 20th International Conference, LENLS20, Osaka, Japan, November 18-20, 2023, Revised Selected Papers. Lecture Notes in Computer Science 14569, Springer 2024, ISBN 978-3-031-60877-3 [contents] - [i20]Kentaro Ozeki, Risako Ando, Takanobu Morishita, Hirohiko Abe, Koji Mineshima, Mitsuhiro Okada:
Exploring Reasoning Biases in Large Language Models Through Syllogism: Insights from the NeuBAROCO Dataset. CoRR abs/2408.04403 (2024) - 2023
- [j9]Yuri Sato, Koji Mineshima, Kazuhiro Ueda:
Can Negation Be Depicted? Comparing Human and Machine Understanding of Visual Representations. Cogn. Sci. 47(3) (2023) - [c44]Yuri Sato, Koji Mineshima:
Can Machines and Humans Use Negation When Describing Images? HAR 2023: 39-47 - [c43]Hayate Funakura, Koji Mineshima:
Computational Semantics and Evaluation Benchmark for Interrogative Sentences via Combinatory Categorial Grammar. PACLIC 2023: 764-774 - [e7]Katsutoshi Yada, Yasufumi Takama, Koji Mineshima, Ken Satoh:
New Frontiers in Artificial Intelligence - JSAI-isAI 2021 Workshops, JURISIN, LENLS18, SCIDOCA, Kansei-AI, AI-BIZ, Yokohama, Japan, November 13-15, 2021, Revised Selected Papers. Lecture Notes in Computer Science 13856, Springer 2023, ISBN 978-3-031-36189-0 [contents] - [e6]Daisuke Bekki, Koji Mineshima, Eric McCready:
Logic and Engineering of Natural Language Semantics - 19th International Conference, LENLS19, Tokyo, Japan, November 19-21, 2022, Revised Selected Papers. Lecture Notes in Computer Science 14213, Springer 2023, ISBN 978-3-031-43976-6 [contents] - [i19]Risako Ando, Takanobu Morishita, Hirohiko Abe, Koji Mineshima, Mitsuhiro Okada:
Evaluating Large Language Models with NeuBAROCO: Syllogistic Reasoning Ability and Human-like Biases. CoRR abs/2306.12567 (2023) - [i18]Hayate Funakura, Koji Mineshima:
Computational Semantics and Evaluation Benchmark for Interrogative Sentences via Combinatory Categorial Grammar. CoRR abs/2312.14737 (2023) - 2022
- [j8]Izumi Haruta, Koji Mineshima, Daisuke Bekki:
Implementing Natural Language Inference for comparatives. J. Lang. Model. 10(1) (2022) - [j7]Hitomi Yanaka, Koji Mineshima:
Compositional Evaluation on Japanese Textual Entailment and Similarity. Trans. Assoc. Comput. Linguistics 10: 1266-1284 (2022) - [c42]Yuri Sato, Koji Mineshima:
Visually Analyzing Universal Quantifiers in Photograph Captions. Diagrams 2022: 373-377 - [i17]Hitomi Yanaka, Koji Mineshima:
Compositional Evaluation on Japanese Textual Entailment and Similarity. CoRR abs/2208.04826 (2022) - 2021
- [c41]Hitomi Yanaka, Koji Mineshima, Kentaro Inui:
SyGNS: A Systematic Generalization Testbed Based on Natural Language Semantics. ACL/IJCNLP (Findings) 2021: 103-119 - [c40]Hitomi Yanaka, Koji Mineshima:
Assessing the Generalization Capacity of Pre-trained Language Models through Japanese Adversarial Natural Language Inference. BlackboxNLP@EMNLP 2021: 337-349 - [c39]Yuri Sato, Koji Mineshima, Kazuhiro Ueda:
Visual representation of negation: Real world data analysis on comic image design. CogSci 2021 - [c38]Yuri Sato, Koji Mineshima:
Can Humans and Machines Classify Photographs as Depicting Negation? Diagrams 2021: 348-352 - [c37]Hitomi Yanaka, Koji Mineshima, Kentaro Inui:
Exploring Transitivity in Neural NLI Models through Veridicality. EACL 2021: 920-934 - [c36]Atsushi Sumita, Yusuke Miyao, Koji Mineshima:
Talking with the Theorem Prover to Interactively Solve Natural Language Inference. PACLIC 2021: 411-420 - [e5]Naoaki Okazaki, Katsutoshi Yada, Ken Satoh, Koji Mineshima:
New Frontiers in Artificial Intelligence - JSAI-isAI 2020 Workshops, JURISIN, LENLS 2020 Workshops, Virtual Event, November 15-17, 2020, Revised Selected Papers. Lecture Notes in Computer Science 12758, Springer 2021, ISBN 978-3-030-79941-0 [contents] - [i16]Hitomi Yanaka, Koji Mineshima, Kentaro Inui:
Exploring Transitivity in Neural NLI Models through Veridicality. CoRR abs/2101.10713 (2021) - [i15]Yuri Sato, Koji Mineshima, Kazuhiro Ueda:
Visual representation of negation: Real world data analysis on comic image design. CoRR abs/2105.10131 (2021) - [i14]Hitomi Yanaka, Koji Mineshima, Kentaro Inui:
SyGNS: A Systematic Generalization Testbed Based on Natural Language Semantics. CoRR abs/2106.01077 (2021) - [i13]Riko Suzuki, Hitomi Yanaka, Koji Mineshima, Daisuke Bekki:
Building a Video-and-Language Dataset with Human Actions for Multimodal Logical Inference. CoRR abs/2106.14137 (2021) - 2020
- [c35]Izumi Haruta, Koji Mineshima, Daisuke Bekki:
Logical Inferences with Comparatives and Generalized Quantifiers. ACL (student) 2020: 263-270 - [c34]Hitomi Yanaka, Koji Mineshima, Daisuke Bekki, Kentaro Inui:
Do Neural Models Learn Systematicity of Monotonicity Inference in Natural Language? ACL 2020: 6105-6117 - [c33]Izumi Haruta, Koji Mineshima, Daisuke Bekki:
Combining Event Semantics and Degree Semantics for Natural Language Inference. COLING 2020: 1758-1764 - [c32]Yuri Sato, Koji Mineshima:
Depicting Negative Information in Photographs, Videos, and Comics: A Preliminary Analysis. Diagrams 2020: 485-489 - [c31]Yusuke Kubota, Koji Mineshima, Noritsugu Hayashi, Shinya Okano:
Development of a General-Purpose Categorial Grammar Treebank. LREC 2020: 5195-5201 - [e4]Maki Sakamoto, Naoaki Okazaki, Koji Mineshima, Ken Satoh:
New Frontiers in Artificial Intelligence - JSAI-isAI International Workshops, JURISIN, AI-Biz, LENLS, Kansei-AI, Yokohama, Japan, November 10-12, 2019, Revised Selected Papers. Lecture Notes in Computer Science 12331, Springer 2020, ISBN 978-3-030-58789-5 [contents] - [i12]Hitomi Yanaka, Koji Mineshima, Daisuke Bekki, Kentaro Inui:
Do Neural Models Learn Systematicity of Monotonicity Inference in Natural Language? CoRR abs/2004.14839 (2020) - [i11]Izumi Haruta, Koji Mineshima, Daisuke Bekki:
Logical Inferences with Comparatives and Generalized Quantifiers. CoRR abs/2005.07954 (2020) - [i10]Izumi Haruta, Koji Mineshima, Daisuke Bekki:
Combining Event Semantics and Degree Semantics for Natural Language Inference. CoRR abs/2011.00961 (2020)
2010 – 2019
- 2019
- [j6]Yukiko Yana, Koji Mineshima, Daisuke Bekki:
Variable Handling and Compositionality: Comparing DRT and DTS. J. Log. Lang. Inf. 28(2): 261-285 (2019) - [c30]Masashi Yoshikawa, Koji Mineshima, Hiroshi Noji, Daisuke Bekki:
Combining Axiom Injection and Knowledge Base Completion for Efficient Natural Language Inference. AAAI 2019: 7410-7417 - [c29]Masashi Yoshikawa, Hiroshi Noji, Koji Mineshima, Daisuke Bekki:
Automatic Generation of High Quality CCGbanks for Parser Domain Adaptation. ACL (1) 2019: 129-139 - [c28]Riko Suzuki, Hitomi Yanaka, Masashi Yoshikawa, Koji Mineshima, Daisuke Bekki:
Multimodal Logical Inference System for Visual-Textual Entailment. ACL (2) 2019: 386-392 - [c27]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 - [c26]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]Kazuhiro Kojima, Maki Sakamoto, Koji Mineshima, Ken Satoh:
New Frontiers in Artificial Intelligence - JSAI-isAI 2018 Workshops, JURISIN, AI-Biz, SKL, LENLS, IDAA, Yokohama, Japan, November 12-14, 2018, Revised Selected Papers. Lecture Notes in Computer Science 11717, Springer 2019, ISBN 978-3-030-31604-4 [contents] - [i9]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) - [i8]Masashi Yoshikawa, Hiroshi Noji, Koji Mineshima, Daisuke Bekki:
Automatic Generation of High Quality CCGbanks for Parser Domain Adaptation. CoRR abs/1906.01834 (2019) - [i7]Riko Suzuki, Hitomi Yanaka, Masashi Yoshikawa, Koji Mineshima, Daisuke Bekki:
Multimodal Logical Inference System for Visual-Textual Entailment. CoRR abs/1906.03952 (2019) - [i6]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) - [i5]Izumi Haruta, Koji Mineshima, Daisuke Bekki:
A CCG-based Compositional Semantics and Inference System for Comparatives. CoRR abs/1910.00930 (2019) - 2018
- [c25]Kana Manome, Masashi Yoshikawa, Hitomi Yanaka, Pascual Martínez-Gómez, Koji Mineshima, Daisuke Bekki:
Neural sentence generation from formal semantics. INLG 2018: 408-414 - [c24]Masashi Yoshikawa, Koji Mineshima, Hiroshi Noji, Daisuke Bekki:
Consistent CCG Parsing over Multiple Sentences for Improved Logical Reasoning. NAACL-HLT (2) 2018: 407-412 - [c23]Hitomi Yanaka, Koji Mineshima, Pascual Martínez-Gómez, Daisuke Bekki:
Acquisition of Phrase Correspondences Using Natural Deduction Proofs. NAACL-HLT 2018: 756-766 - [e2]Sachiyo Arai, Kazuhiro Kojima, Koji Mineshima, Daisuke Bekki, Ken Satoh, Yuiko Ohta:
New Frontiers in Artificial Intelligence - JSAI-isAI Workshops, JURISIN, SKL, AI-Biz, LENLS, AAA, SCIDOCA, kNeXI, Tsukuba, Tokyo, Japan, November 13-15, 2017, Revised Selected Papers. Lecture Notes in Computer Science 10838, Springer 2018, ISBN 978-3-319-93793-9 [contents] - [i4]Masashi Yoshikawa, Koji Mineshima, Hiroshi Noji, Daisuke Bekki:
Consistent CCG Parsing over Multiple Sentences for Improved Logical Reasoning. CoRR abs/1804.07068 (2018) - [i3]Hitomi Yanaka, Koji Mineshima, Pascual Martínez-Gómez, Daisuke Bekki:
Acquisition of Phrase Correspondences using Natural Deduction Proofs. CoRR abs/1804.07656 (2018) - [i2]Masashi Yoshikawa, Koji Mineshima, Hiroshi Noji, Daisuke Bekki:
Combining Axiom Injection and Knowledge Base Completion for Efficient Natural Language Inference. CoRR abs/1811.06203 (2018) - 2017
- [j5]Ribeka Tanaka, Koji Mineshima, Daisuke Bekki:
Factivity and presupposition in Dependent Type Semantics. J. Lang. Model. 5(2): 385-420 (2017) - [c22]Pascual Martínez-Gómez, Koji Mineshima, Yusuke Miyao, Daisuke Bekki:
On-demand Injection of Lexical Knowledge for Recognising Textual Entailment. EACL (1) 2017: 710-720 - [c21]Hitomi Yanaka, Koji Mineshima, Pascual Martínez-Gómez, Daisuke Bekki:
Determining Semantic Textual Similarity using Natural Deduction Proofs. EMNLP 2017: 681-691 - [c20]Dan Han, Pascual Martínez-Gómez, Koji Mineshima:
Visual Denotations for Recognizing Textual Entailment. EMNLP 2017: 2853-2859 - [c19]Ran Tian, Koji Mineshima, Pascual Martínez-Gómez:
The Challenge of Composition in Distributional and Formal Semantics. IJCNLP (Tutorial Abstracts) 2017: 16-17 - [i1]Hitomi Yanaka, Koji Mineshima, Pascual Martínez-Gómez, Daisuke Bekki:
Determining Semantic Textual Similarity using Natural Deduction Proofs. CoRR abs/1707.08713 (2017) - 2016
- [c18]Pascual Martínez-Gómez, Koji Mineshima, Yusuke Miyao, Daisuke Bekki:
ccg2lambda: A Compositional Semantics System. ACL (System Demonstrations) 2016: 85-90 - [c17]Kimi Kaneko, Saku Sugawara, Koji Mineshima, Daisuke Bekki:
Annotation and Analysis of Discourse Relations, Temporal Relations and Multi-Layered Situational Relations in Japanese Texts. ALR@COLING 2016: 10-19 - [c16]Yuri Sato, Koji Mineshima:
Human Reasoning with Proportional Quantifiers and Its Support by Diagrams. Diagrams 2016: 123-138 - [c15]Koji Mineshima, Ribeka Tanaka, Pascual Martínez-Gómez, Yusuke Miyao, Daisuke Bekki:
Building compositional semantics and higher-order inference system for a wide-coverage Japanese CCG parser. EMNLP 2016: 2236-2242 - [c14]Eriko Kinoshita, Koji Mineshima, Daisuke Bekki:
An Analysis of Selectional Restrictions with Dependent Type Semantics. JSAI-isAI Workshops 2016: 19-32 - [c13]Ribeka Tanaka, Koji Mineshima, Daisuke Bekki:
On the Interpretation of Dependent Plural Anaphora in a Dependently-Typed Setting. JSAI-isAI Workshops 2016: 123-137 - 2015
- [j4]Yuri Sato, Koji Mineshima:
How Diagrams Can Support Syllogistic Reasoning: An Experimental Study. J. Log. Lang. Inf. 24(4): 409-455 (2015) - [c12]Koji Mineshima, Pascual Martínez-Gómez, Yusuke Miyao, Daisuke Bekki:
Higher-order logical inference with compositional semantics. EMNLP 2015: 2055-2061 - [c11]Ayako Nakamura, Koji Mineshima, Daisuke Bekki:
Towards Modeling Natural Language Inferences with Part-Whole Relations using Formal Ontology and Lexical Semantics. JOWO@IJCAI 2015 - [c10]Ai Kawazoe, Ribeka Tanaka, Koji Mineshima, Daisuke Bekki:
An Inference Problem Set for Evaluating Semantic Theories and Semantic Processing Systems for Japanese. JSAI-isAI Workshops 2015: 58-65 - [e1]Tsuyoshi Murata, Koji Mineshima, Daisuke Bekki:
New Frontiers in Artificial Intelligence - JSAI-isAI 2014 Workshops, LENLS, JURISIN, and GABA, Kanagawa, Japan, October 27-28, 2014, Revised Selected Papers. Lecture Notes in Computer Science 9067, Springer 2015, ISBN 978-3-662-48118-9 [contents] - 2014
- [j3]Koji Mineshima, Yuri Sato, Ryo Takemura, Mitsuhiro Okada:
Towards explaining the cognitive efficacy of Euler diagrams in syllogistic reasoning: A relational perspective. J. Vis. Lang. Comput. 25(3): 156-169 (2014) - [c9]Koji Mineshima:
Logic and Engineering of Natural Language Semantics (LENLS) 11. JSAI-isAI Workshops 2014: 3-5 - [c8]Ribeka Tanaka, Koji Mineshima, Daisuke Bekki:
Resolving Modal Anaphora in Dependent Type Semantics. JSAI-isAI Workshops 2014: 83-98 - 2012
- [j2]Koji Mineshima, Mitsuhiro Okada, Ryo Takemura:
A Diagrammatic Inference System with Euler Circles. J. Log. Lang. Inf. 21(3): 365-391 (2012) - [j1]Koji Mineshima, Mitsuhiro Okada, Ryo Takemura:
A Generalized Syllogistic Inference System based on Inclusion and Exclusion Relations. Stud Logica 100(4): 753-785 (2012) - [c7]Yuri Sato, Koji Mineshima, Ryo Takemura, Mitsuhiro Okada:
On the Cognitive Efficacy of Euler Diagrams in Syllogistic Reasoning: A Relational Perspective. ED@Diagrams 2012: 17-31 - [c6]Yuri Sato, Koji Mineshima:
The Efficacy of Diagrams in Syllogistic Reasoning: A Case of Linear Diagrams. Diagrams 2012: 352-355 - 2011
- [c5]Yuri Sato, Koji Mineshima, Ryo Takemura:
Interpreting logic diagrams: a comparison of two formulations of diagrammatic representations. CogSci 2011 - 2010
- [c4]Yuri Sato, Koji Mineshima, Ryo Takemura:
The Efficacy of Euler and Venn Diagrams in Deductive Reasoning: Empirical Findings. Diagrams 2010: 6-22 - [c3]Koji Mineshima, Mitsuhiro Okada, Ryo Takemura:
Two Types of Diagrammatic Inference Systems: Natural Deduction Style and Resolution Style. Diagrams 2010: 99-114
2000 – 2009
- 2008
- [c2]Koji Mineshima, Mitsuhiro Okada, Yuri Sato, Ryo Takemura:
Diagrammatic Reasoning System with Euler Circles: Theory and Experiment Design. Diagrams 2008: 188-205 - 2007
- [c1]Koji Mineshima:
A Presuppositional Analysis of Definite Descriptions in Proof Theory. JSAI 2007: 214-227
Coauthor Index
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