Joint Transition-based Dependency Parsing and Disfluency Detection for Automatic Speech Recognition Texts. - Masashi Yoshikawa; Hiroyuki Shindo; Yuji Matsumoto 001 (EMNLP, 2016)

Similarity Matrix Model for the NTCIR-12 MedNLPDoc Task. - Yuichiro Sawai; Mai Omura; Hiroki Ouchi; Yuki Nagai; Masashi Yoshikawa; Ikuya Yamada (NTCIR, 2016)

A* CCG Parsing with a Supertag and Dependency Factored Model. - Masashi Yoshikawa; Hiroshi Noji; Yuji Matsumoto 001 (ACL (1), 2017)

Neural sentence generation from formal semantics. - Kana Manome; Masashi Yoshikawa; Hitomi Yanaka; Pascual Martínez-Gómez; Koji Mineshima; Daisuke Bekki (INLG, 2018)

Consistent CCG Parsing over Multiple Sentences for Improved Logical Reasoning. - Masashi Yoshikawa; Koji Mineshima; Hiroshi Noji; Daisuke Bekki (NAACL-HLT (2), 2018)

Combining Axiom Injection and Knowledge Base Completion for Efficient Natural Language Inference. - Masashi Yoshikawa; Koji Mineshima; Hiroshi Noji; Daisuke Bekki (AAAI, 2019)

Multimodal Logical Inference System for Visual-Textual Entailment. - Riko Suzuki; Hitomi Yanaka; Masashi Yoshikawa; Koji Mineshima; Daisuke Bekki (ACL (2), 2019)

Automatic Generation of High Quality CCGbanks for Parser Domain Adaptation. - Masashi Yoshikawa; Hiroshi Noji; Koji Mineshima; Daisuke Bekki (ACL (1), 2019)

Structural Change Point Detection Using A Large Random Matrix and Sparse Modeling. - Katsuya Ito; Akira Kinoshita; Masashi Yoshikawa (EDBT/ICDT Workshops, 2019)

Instance-Based Neural Dependency Parsing. - Hiroki Ouchi; Jun Suzuki 001; Sosuke Kobayashi; Sho Yokoi; Tatsuki Kuribayashi; Masashi Yoshikawa; Kentaro Inui (Trans. Assoc. Comput. Linguistics, 2021)

Empirical Investigation of Neural Symbolic Reasoning Strategies. - Yoichi Aoki; Keito Kudo; Tatsuki Kuribayashi; Ana Brassard; Masashi Yoshikawa; Keisuke Sakaguchi; Kentaro Inui (EACL (Findings), 2023)

Do Deep Neural Networks Capture Compositionality in Arithmetic Reasoning? - Keito Kudo; Yoichi Aoki; Tatsuki Kuribayashi; Ana Brassard; Masashi Yoshikawa; Keisuke Sakaguchi; Kentaro Inui (EACL, 2023)

Tracing and Manipulating Intermediate Values in Neural Math Problem Solvers. - Yuta Matsumoto; Benjamin Heinzerling; Masashi Yoshikawa; Kentaro Inui (CoRR, 2023)