Hitomi Yanaka

Publication Activity (10 Years)

Years Active: 2016-2024
Publications (10 Years): 54

Top Topics

Logical Inference

Textual Entailment

Top Venues

ClinicalNLP@ACL

Publications

Rongzhi Li, Takeru Matsuda, Hitomi Yanaka
Exploring Intra and Inter-language Consistency in Embeddings with ICA. CoRR (2024)
Takeshi Kojima, Itsuki Okimura, Yusuke Iwasawa, Hitomi Yanaka, Yutaka Matsuo
On the Multilingual Ability of Decoder-based Pre-trained Language Models: Finding and Controlling Language-Specific Neurons. NAACL-HLT (2024)
Wataru Nakata, Kentaro Seki, Hitomi Yanaka, Yuki Saito, Shinnosuke Takamichi, Hiroshi Saruwatari
J-CHAT: Japanese Large-scale Spoken Dialogue Corpus for Spoken Dialogue Language Modeling. CoRR (2024)
Tomoki Doi, Masaru Isonuma, Hitomi Yanaka
Comprehensive Evaluation of Large Language Models for Topic Modeling. CoRR (2024)
Aman Jain, Teruhisa Misu, Kentaro Yamada, Hitomi Yanaka
GesNavi: Gesture-guided Outdoor Vision-and-Language Navigation. EACL (Student Research Workshop) (2024)
Ryoma Kumon, Daiki Matsuoka, Hitomi Yanaka
Evaluating Structural Generalization in Neural Machine Translation. CoRR (2024)
Hitomi Yanaka, Namgi Han, Ryoma Kumon, Jie Lu, Masashi Takeshita, Ryo Sekizawa, Taisei Kato, Hiromi Arai
Analyzing Social Biases in Japanese Large Language Models. CoRR (2024)
Takeshi Kojima, Itsuki Okimura, Yusuke Iwasawa, Hitomi Yanaka, Yutaka Matsuo
On the Multilingual Ability of Decoder-based Pre-trained Language Models: Finding and Controlling Language-Specific Neurons. CoRR (2024)
Nobuyuki Iokawa, Hitomi Yanaka
Visual-Textual Entailment with Quantities Using Model Checking and Knowledge Injection. LREC/COLING (2024)
Ryoma Kumon, Daiki Matsuoka, Hitomi Yanaka
Evaluating Structural Generalization in Neural Machine Translation. ACL (Findings) (2024)
Asa Tomita, Hitomi Yanaka, Daisuke Bekki
Reforging : A Method for Constructing a Linguistically Valid Japanese CCG Treebank. EACL (Student Research Workshop) (2024)
Akiko Aizawa, Eiji Aramaki, Bowen Chen, Fei Cheng, Hiroyuki Deguchi, Rintaro Enomoto, Kazuki Fujii, Kensuke Fukumoto, Takuya Fukushima, Namgi Han, Yuto Harada, Chikara Hashimoto, Tatsuya Hiraoka, Shohei Hisada, Sosuke Hosokawa, Lu Jie, Keisuke Kamata, Teruhito Kanazawa, Hiroki Kanezashi, Hiroshi Kataoka, Satoru Katsumata, Daisuke Kawahara, Seiya Kawano, Atsushi Keyaki, Keisuke Kiryu, Hirokazu Kiyomaru, Takashi Kodama, Takahiro Kubo, Yohei Kuga, Ryoma Kumon, Shuhei Kurita, Sadao Kurohashi, Conglong Li, Taiki Maekawa, Hiroshi Matsuda, Yusuke Miyao, Kentaro Mizuki, Sakae Mizuki, Yugo Murawaki, Ryo Nakamura, Taishi Nakamura, Kouta Nakayama, Tomoka Nakazato, Takuro Niitsuma, Jiro Nishitoba, Yusuke Oda, Hayato Ogawa, Takumi Okamoto, Naoaki Okazaki, Yohei Oseki, Shintaro Ozaki, Koki Ryu, Rafal Rzepka, Keisuke Sakaguchi, Shota Sasaki, Satoshi Sekine, Kohei Suda, Saku Sugawara, Issa Sugiura, Hiroaki Sugiyama, Hisami Suzuki, Jun Suzuki, Toyotaro Suzumura, Kensuke Tachibana, Yu Takagi, Kyosuke Takami, Koichi Takeda, Masashi Takeshita, Masahiro Tanaka, Kenjiro Taura, Arseny Tolmachev, Nobuhiro Ueda, Zhen Wan, Shuntaro Yada, Sakiko Yahata, Yuya Yamamoto, Yusuke Yamauchi, Hitomi Yanaka, Rio Yokota, Koichiro Yoshino
LLM-jp: A Cross-organizational Project for the Research and Development of Fully Open Japanese LLMs. CoRR (2024)
Tomoki Sugimoto, Yasumasa Onoe, Hitomi Yanaka
Jamp: Controlled Japanese Temporal Inference Dataset for Evaluating Generalization Capacity of Language Models. CoRR (2023)
Ryo Sekizawa, Hitomi Yanaka
Analyzing Syntactic Generalization Capacity of Pre-trained Language Models on Japanese Honorific Conversion. *SEM@ACL (2023)
Ryo Sekizawa, Hitomi Yanaka
Analyzing Syntactic Generalization Capacity of Pre-trained Language Models on Japanese Honorific Conversion. CoRR (2023)
Akiyoshi Tomihari, Hitomi Yanaka
Logic-Based Inference With Phrase Abduction Using Vision-and-Language Models. IEEE Access 11 (2023)
Tomoki Sugimoto, Yasumasa Onoe, Hitomi Yanaka
Jamp: Controlled Japanese Temporal Inference Dataset for Evaluating Generalization Capacity of Language Models. ACL (student) (2023)
Ryo Sekizawa, Nan Duan, Shuai Lu, Hitomi Yanaka
Constructing Multilingual Code Search Dataset Using Neural Machine Translation. ACL (student) (2023)
Hitomi Yanaka, Yuta Nakamura, Yuki Chida, Tomoya Kurosawa
Medical Visual Textual Entailment for Numerical Understanding of Vision-and-Language Models. ClinicalNLP@ACL (2023)
Daiki Matsuoka, Daisuke Bekki, Hitomi Yanaka
Appositive Projection as Implicit Context Extension in Dependent Type Semantics. LENLS (2023)
Aman Jain, Anirudh Reddy Kondapally, Kentaro Yamada, Hitomi Yanaka
A neuro-symbolic approach for multimodal reference expression comprehension. CoRR (2023)
Ryo Sekizawa, Nan Duan, Shuai Lu, Hitomi Yanaka
Constructing Multilingual Code Search Dataset Using Neural Machine Translation. CoRR (2023)
Natsuki Murakami, Mana Ishida, Yuta Takahashi, Hitomi Yanaka, Daisuke Bekki
Knowledge Injection for Disease Names in Logical Inference between Japanese Clinical Texts. ClinicalNLP@ACL (2023)
Tomoya Kurosawa, Hitomi Yanaka
Does Character-level Information Always Improve DRS-based Semantic Parsing? CoRR (2023)
Tomoya Kurosawa, Hitomi Yanaka
Does Character-level Information Always Improve DRS-based Semantic Parsing? *SEM@ACL (2023)
Daisuke Bekki, Hitomi Yanaka
Is Japanese CCGBank empirically correct? A case study of passive and causative constructions. CoRR (2023)
Tomoki Sugimoto, Hitomi Yanaka
Compositional Semantics and Inference System for Temporal Order based on Japanese CCG. CoRR (2022)
Hitomi Yanaka, Koji Mineshima
Compositional Evaluation on Japanese Textual Entailment and Similarity. CoRR (2022)
Tomoya Kurosawa, Hitomi Yanaka
Logical Inference for Counting on Semi-structured Tables. ACL (student) (2022)
Hitomi Yanaka, Koji Mineshima
Compositional Evaluation on Japanese Textual Entailment and Similarity. Trans. Assoc. Comput. Linguistics 10 (2022)
Tomoya Kurosawa, Hitomi Yanaka
Logical Inference for Counting on Semi-structured Tables. CoRR (2022)
Tomoki Sugimoto, Hitomi Yanaka
Compositional Semantics and Inference System for Temporal Order based on Japanese CCG. ACL (student) (2022)
Hitomi Yanaka, Koji Mineshima, Kentaro Inui
SyGNS: A Systematic Generalization Testbed Based on Natural Language Semantics. CoRR (2021)
Hitomi Yanaka, Koji Mineshima, Kentaro Inui
Exploring Transitivity in Neural NLI Models through Veridicality. CoRR (2021)
Riko Suzuki, Hitomi Yanaka, Koji Mineshima, Daisuke Bekki
Building a Video-and-Language Dataset with Human Actions for Multimodal Logical Inference. CoRR (2021)
Hitomi Yanaka, Koji Mineshima, Kentaro Inui
Exploring Transitivity in Neural NLI Models through Veridicality. EACL (2021)
Masato Mita, Hitomi Yanaka
Do Grammatical Error Correction Models Realize Grammatical Generalization? ACL/IJCNLP (Findings) (2021)
Hitomi Yanaka, Koji Mineshima, Kentaro Inui
SyGNS: A Systematic Generalization Testbed Based on Natural Language Semantics. ACL/IJCNLP (Findings) (2021)
Hitomi Yanaka, Koji Mineshima
Assessing the Generalization Capacity of Pre-trained Language Models through Japanese Adversarial Natural Language Inference. BlackboxNLP@EMNLP (2021)
Masato Mita, Hitomi Yanaka
Do Grammatical Error Correction Models Realize Grammatical Generalization? CoRR (2021)
Hitomi Yanaka, Koji Mineshima, Daisuke Bekki, Kentaro Inui
Do Neural Models Learn Systematicity of Monotonicity Inference in Natural Language? CoRR (2020)
Hitomi Yanaka, Koji Mineshima, Daisuke Bekki, Kentaro Inui
Do Neural Models Learn Systematicity of Monotonicity Inference in Natural Language? ACL (2020)
Riko Suzuki, Hitomi Yanaka, Masashi Yoshikawa, Koji Mineshima, Daisuke Bekki
Multimodal Logical Inference System for Visual-Textual Entailment. ACL (2) (2019)
Hitomi Yanaka, Koji Mineshima, Daisuke Bekki, Kentaro Inui, Satoshi Sekine, Lasha Abzianidze, Johan Bos
Can neural networks understand monotonicity reasoning? CoRR (2019)
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 (2019)
Hitomi Yanaka, Koji Mineshima, Daisuke Bekki, Kentaro Inui, Satoshi Sekine, Lasha Abzianidze, Johan Bos
Can Neural Networks Understand Monotonicity Reasoning? BlackboxNLP@ACL (2019)
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)
Riko Suzuki, Hitomi Yanaka, Masashi Yoshikawa, Koji Mineshima, Daisuke Bekki
Multimodal Logical Inference System for Visual-Textual Entailment. CoRR (2019)
Kana Manome, Masashi Yoshikawa, Hitomi Yanaka, Pascual Martínez-Gómez, Koji Mineshima, Daisuke Bekki
Neural sentence generation from formal semantics. INLG (2018)
Hitomi Yanaka, Koji Mineshima, Pascual Martínez-Gómez, Daisuke Bekki
Acquisition of Phrase Correspondences Using Natural Deduction Proofs. NAACL-HLT (2018)
Hitomi Yanaka, Koji Mineshima, Pascual Martínez-Gómez, Daisuke Bekki
Acquisition of Phrase Correspondences using Natural Deduction Proofs. CoRR (2018)
Hitomi Yanaka, Koji Mineshima, Pascual Martínez-Gómez, Daisuke Bekki
Determining Semantic Textual Similarity using Natural Deduction Proofs. EMNLP (2017)
Hitomi Yanaka, Koji Mineshima, Pascual Martínez-Gómez, Daisuke Bekki
Determining Semantic Textual Similarity using Natural Deduction Proofs. CoRR (2017)
Hitomi Yanaka, Yukio Ohsawa
Clustering Documents on Case Vectors Represented by Predicate-argument Structures - Applied for Eliciting Technological Problems from Patents. FedCSIS (2016)