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Masashi Yoshikawa
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2020 – today
- 2023
- [c11]Yoichi Aoki, Keito Kudo, Tatsuki Kuribayashi, Ana Brassard, Masashi Yoshikawa, Keisuke Sakaguchi, Kentaro Inui:
Empirical Investigation of Neural Symbolic Reasoning Strategies. EACL (Findings) 2023: 1124-1132 - [c10]Keito Kudo, Yoichi Aoki, Tatsuki Kuribayashi, Ana Brassard, Masashi Yoshikawa, Keisuke Sakaguchi, Kentaro Inui:
Do Deep Neural Networks Capture Compositionality in Arithmetic Reasoning? EACL 2023: 1343-1354 - [i9]Yuta Matsumoto, Benjamin Heinzerling, Masashi Yoshikawa, Kentaro Inui:
Tracing and Manipulating Intermediate Values in Neural Math Problem Solvers. CoRR abs/2301.06758 (2023) - [i8]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) - [i7]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) - 2021
- [j1]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) - [i6]Hiroki Ouchi, Jun Suzuki, Sosuke Kobayashi, Sho Yokoi, Tatsuki Kuribayashi, Masashi Yoshikawa, Kentaro Inui:
Instance-Based Neural Dependency Parsing. CoRR abs/2109.13497 (2021)
2010 – 2019
- 2019
- [c9]Masashi Yoshikawa, Koji Mineshima, Hiroshi Noji
, Daisuke Bekki:
Combining Axiom Injection and Knowledge Base Completion for Efficient Natural Language Inference. AAAI 2019: 7410-7417 - [c8]Masashi Yoshikawa, Hiroshi Noji
, Koji Mineshima, Daisuke Bekki:
Automatic Generation of High Quality CCGbanks for Parser Domain Adaptation. ACL (1) 2019: 129-139 - [c7]Riko Suzuki, Hitomi Yanaka, Masashi Yoshikawa, Koji Mineshima, Daisuke Bekki:
Multimodal Logical Inference System for Visual-Textual Entailment. ACL (2) 2019: 386-392 - [c6]Katsuya Ito, Akira Kinoshita, Masashi Yoshikawa:
Structural Change Point Detection Using A Large Random Matrix and Sparse Modeling. EDBT/ICDT Workshops 2019 - [i5]Masashi Yoshikawa, Hiroshi Noji, Koji Mineshima, Daisuke Bekki:
Automatic Generation of High Quality CCGbanks for Parser Domain Adaptation. CoRR abs/1906.01834 (2019) - [i4]Riko Suzuki, Hitomi Yanaka, Masashi Yoshikawa, Koji Mineshima, Daisuke Bekki:
Multimodal Logical Inference System for Visual-Textual Entailment. CoRR abs/1906.03952 (2019) - 2018
- [c5]Kana Manome, Masashi Yoshikawa, Hitomi Yanaka, Pascual Martínez-Gómez, Koji Mineshima, Daisuke Bekki:
Neural sentence generation from formal semantics. INLG 2018: 408-414 - [c4]Masashi Yoshikawa, Koji Mineshima, Hiroshi Noji, Daisuke Bekki:
Consistent CCG Parsing over Multiple Sentences for Improved Logical Reasoning. NAACL-HLT (2) 2018: 407-412 - [i3]Masashi Yoshikawa, Koji Mineshima, Hiroshi Noji, Daisuke Bekki:
Consistent CCG Parsing over Multiple Sentences for Improved Logical Reasoning. CoRR abs/1804.07068 (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
- [c3]Masashi Yoshikawa, Hiroshi Noji
, Yuji Matsumoto:
A* CCG Parsing with a Supertag and Dependency Factored Model. ACL (1) 2017: 277-287 - [i1]Masashi Yoshikawa, Hiroshi Noji, Yuji Matsumoto:
A* CCG Parsing with a Supertag and Dependency Factored Model. CoRR abs/1704.06936 (2017) - 2016
- [c2]Masashi Yoshikawa, Hiroyuki Shindo, Yuji Matsumoto:
Joint Transition-based Dependency Parsing and Disfluency Detection for Automatic Speech Recognition Texts. EMNLP 2016: 1036-1041 - [c1]Yuichiro Sawai, Mai Omura, Hiroki Ouchi, Yuki Nagai, Masashi Yoshikawa, Ikuya Yamada:
Similarity Matrix Model for the NTCIR-12 MedNLPDoc Task. NTCIR 2016
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