Hitomi Yanaka

According to our database, Hitomi Yanaka authored at least 27 papers between 2016 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Reforging : A Method for Constructing a Linguistically Valid Japanese CCG Treebank.

Asa Tomita, Hitomi Yanaka, Daisuke Bekki

Proceedings of the 18th Conference of the European Chapter of the Association for Computational Linguistics, 2024

GesNavi: Gesture-guided Outdoor Vision-and-Language Navigation.

Aman Jain, Teruhisa Misu, Kentaro Yamada, Hitomi Yanaka

Proceedings of the 18th Conference of the European Chapter of the Association for Computational Linguistics, 2024

2023

A neuro-symbolic approach for multimodal reference expression comprehension.

Aman Jain, Anirudh Reddy Kondapally, Kentaro Yamada, Hitomi Yanaka

CoRR, 2023

Is Japanese CCGBank empirically correct? A case study of passive and causative constructions.

Daisuke Bekki, Hitomi Yanaka

CoRR, 2023

Logic-Based Inference With Phrase Abduction Using Vision-and-Language Models.

Akiyoshi Tomihari, Hitomi Yanaka

IEEE Access, 2023

Analyzing Syntactic Generalization Capacity of Pre-trained Language Models on Japanese Honorific Conversion.

Ryo Sekizawa, Hitomi Yanaka

Proceedings of the The 12th Joint Conference on Lexical and Computational Semantics, 2023

Does Character-level Information Always Improve DRS-based Semantic Parsing?

Tomoya Kurosawa, Hitomi Yanaka

Proceedings of the The 12th Joint Conference on Lexical and Computational Semantics, 2023

Jamp: Controlled Japanese Temporal Inference Dataset for Evaluating Generalization Capacity of Language Models.

Tomoki Sugimoto, Yasumasa Onoe, Hitomi Yanaka

Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics: Student Research Workshop, 2023

Constructing Multilingual Code Search Dataset Using Neural Machine Translation.

Ryo Sekizawa, Nan Duan, Shuai Lu, Hitomi Yanaka

Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics: Student Research Workshop, 2023

Medical Visual Textual Entailment for Numerical Understanding of Vision-and-Language Models.

Hitomi Yanaka, Yuta Nakamura, Yuki Chida, Tomoya Kurosawa

Proceedings of the 5th Clinical Natural Language Processing Workshop, 2023

Knowledge Injection for Disease Names in Logical Inference between Japanese Clinical Texts.

Natsuki Murakami, Mana Ishida, Yuta Takahashi, Hitomi Yanaka, Daisuke Bekki

Proceedings of the 5th Clinical Natural Language Processing Workshop, 2023

2022

Compositional Evaluation on Japanese Textual Entailment and Similarity.

Hitomi Yanaka, Koji Mineshima

Trans. Assoc. Comput. Linguistics, 2022

Compositional Semantics and Inference System for Temporal Order based on Japanese CCG.

Tomoki Sugimoto, Hitomi Yanaka

Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics: Student Research Workshop, 2022

Logical Inference for Counting on Semi-structured Tables.

Tomoya Kurosawa, Hitomi Yanaka

Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics: Student Research Workshop, 2022

2021

Building a Video-and-Language Dataset with Human Actions for Multimodal Logical Inference.

Riko Suzuki, Hitomi Yanaka, Koji Mineshima, Daisuke Bekki

CoRR, 2021

Exploring Transitivity in Neural NLI Models through Veridicality.

Hitomi Yanaka, Koji Mineshima, Kentaro Inui

Proceedings of the 16th Conference of the European Chapter of the Association for Computational Linguistics: Main Volume, 2021

Assessing the Generalization Capacity of Pre-trained Language Models through Japanese Adversarial Natural Language Inference.

Hitomi Yanaka, Koji Mineshima

Proceedings of the Fourth BlackboxNLP Workshop on Analyzing and Interpreting Neural Networks for NLP, 2021

SyGNS: A Systematic Generalization Testbed Based on Natural Language Semantics.

Hitomi Yanaka, Koji Mineshima, Kentaro Inui

Proceedings of the Findings of the Association for Computational Linguistics: ACL/IJCNLP 2021, 2021

Do Grammatical Error Correction Models Realize Grammatical Generalization?

Masato Mita, Hitomi Yanaka

Proceedings of the Findings of the Association for Computational Linguistics: ACL/IJCNLP 2021, 2021

2020

Do Neural Models Learn Systematicity of Monotonicity Inference in Natural Language?

Hitomi Yanaka, Koji Mineshima, Daisuke Bekki, Kentaro Inui

Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics, 2020

2019

HELP: A Dataset for Identifying Shortcomings of Neural Models in Monotonicity Reasoning.

Hitomi Yanaka, Koji Mineshima, Daisuke Bekki, Kentaro Inui, Satoshi Sekine, Lasha Abzianidze, Johan Bos

Proceedings of the Eighth Joint Conference on Lexical and Computational Semantics, 2019

Can Neural Networks Understand Monotonicity Reasoning?

Hitomi Yanaka, Koji Mineshima, Daisuke Bekki, Kentaro Inui, Satoshi Sekine, Lasha Abzianidze, Johan Bos

Proceedings of the 2019 ACL Workshop BlackboxNLP: Analyzing and Interpreting Neural Networks for NLP, 2019

Multimodal Logical Inference System for Visual-Textual Entailment.

Riko Suzuki, Hitomi Yanaka, Masashi Yoshikawa, Koji Mineshima, Daisuke Bekki

Proceedings of the 57th Conference of the Association for Computational Linguistics, 2019

2018

Acquisition of Phrase Correspondences Using Natural Deduction Proofs.

Hitomi Yanaka, Koji Mineshima, Pascual Martínez-Gómez, Daisuke Bekki

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.

Kana Manome, Masashi Yoshikawa, Hitomi Yanaka, Pascual Martínez-Gómez, Koji Mineshima, Daisuke Bekki

Proceedings of the 11th International Conference on Natural Language Generation, 2018

2017

Determining Semantic Textual Similarity using Natural Deduction Proofs.

Hitomi Yanaka, Koji Mineshima, Pascual Martínez-Gómez, Daisuke Bekki

Proceedings of the 2017 Conference on Empirical Methods in Natural Language Processing, 2017

2016

Clustering Documents on Case Vectors Represented by Predicate-argument Structures - Applied for Eliciting Technological Problems from Patents.

Hitomi Yanaka, Yukio Ohsawa

Proceedings of the 2016 Federated Conference on Computer Science and Information Systems, 2016