Masashi Yoshikawa

According to our database1, Masashi Yoshikawa authored at least 13 papers between 2016 and 2023.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

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Links

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Bibliography

2023
Tracing and Manipulating Intermediate Values in Neural Math Problem Solvers.
CoRR, 2023

Do Deep Neural Networks Capture Compositionality in Arithmetic Reasoning?
Proceedings of the 17th Conference of the European Chapter of the Association for Computational Linguistics, 2023

Empirical Investigation of Neural Symbolic Reasoning Strategies.
Proceedings of the Findings of the Association for Computational Linguistics: EACL 2023, 2023

2021
Instance-Based Neural Dependency Parsing.
Trans. Assoc. Comput. Linguistics, 2021

2019
Structural Change Point Detection Using A Large Random Matrix and Sparse Modeling.
Proceedings of the Workshops of the EDBT/ICDT 2019 Joint Conference, 2019

Automatic Generation of High Quality CCGbanks for Parser Domain Adaptation.
Proceedings of the 57th Conference of the Association for Computational Linguistics, 2019

Multimodal Logical Inference System for Visual-Textual Entailment.
Proceedings of the 57th Conference of the Association for Computational Linguistics, 2019

Combining Axiom Injection and Knowledge Base Completion for Efficient Natural Language Inference.
Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, 2019

2018
Consistent CCG Parsing over Multiple Sentences for Improved Logical Reasoning.
Proceedings of the 2018 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2018

Neural sentence generation from formal semantics.
Proceedings of the 11th International Conference on Natural Language Generation, 2018

2017
A* CCG Parsing with a Supertag and Dependency Factored Model.
Proceedings of the 55th Annual Meeting of the Association for Computational Linguistics, 2017

2016
Similarity Matrix Model for the NTCIR-12 MedNLPDoc Task.
Proceedings of the 12th NTCIR Conference on Evaluation of Information Access Technologies, 2016

Joint Transition-based Dependency Parsing and Disfluency Detection for Automatic Speech Recognition Texts.
Proceedings of the 2016 Conference on Empirical Methods in Natural Language Processing, 2016


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