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Koji Mineshima
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Publications
- 2023
- [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] - 2022
- [j8]Izumi Haruta, Koji Mineshima, Daisuke Bekki:
Implementing Natural Language Inference for comparatives. J. Lang. Model. 10(1) (2022) - 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 - [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) - 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 - [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 - [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 - [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
- [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
- [c8]Ribeka Tanaka, Koji Mineshima, Daisuke Bekki:
Resolving Modal Anaphora in Dependent Type Semantics. JSAI-isAI Workshops 2014: 83-98
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