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Hitomi Yanaka
Hitomi Yanaka
Verified email at is.s.u-tokyo.ac.jp - Homepage
Title
Cited by
Cited by
Year
Can neural networks understand monotonicity reasoning?
H Yanaka, K Mineshima, D Bekki, K Inui, S Sekine, L Abzianidze, J Bos
arXiv preprint arXiv:1906.06448, 2019
792019
HELP: A dataset for identifying shortcomings of neural models in monotonicity reasoning
H Yanaka, K Mineshima, D Bekki, K Inui, S Sekine, L Abzianidze, J Bos
arXiv preprint arXiv:1904.12166, 2019
552019
Do neural models learn systematicity of monotonicity inference in natural language?
H Yanaka, K Mineshima, D Bekki, K Inui
arXiv preprint arXiv:2004.14839, 2020
492020
Acquisition of phrase correspondences using natural deduction proofs
H Yanaka, K Mineshima, P Martínez-Gómez, D Bekki
arXiv preprint arXiv:1804.07656, 2018
242018
Exploring transitivity in neural NLI models through veridicality
H Yanaka, K Mineshima, K Inui
arXiv preprint arXiv:2101.10713, 2021
192021
Do grammatical error correction models realize grammatical generalization?
M Mita, H Yanaka
arXiv preprint arXiv:2106.03031, 2021
152021
Multimodal logical inference system for visual-textual entailment
R Suzuki, H Yanaka, M Yoshikawa, K Mineshima, D Bekki
arXiv preprint arXiv:1906.03952, 2019
152019
SyGNS: A systematic generalization testbed based on natural language semantics
H Yanaka, K Mineshima, K Inui
arXiv preprint arXiv:2106.01077, 2021
132021
Compositional evaluation on Japanese textual entailment and similarity
H Yanaka, K Mineshima
Transactions of the Association for Computational Linguistics 10, 1266-1284, 2022
122022
Assessing the generalization capacity of pre-trained language models through Japanese adversarial natural language inference
H Yanaka, K Mineshima
Proceedings of the Fourth BlackboxNLP Workshop on Analyzing and Interpreting …, 2021
102021
Determining semantic textual similarity using natural deduction proofs
H Yanaka, K Mineshima, P Martínez-Gómez, D Bekki
arXiv preprint arXiv:1707.08713, 2017
82017
Compositional semantics and inference system for temporal order based on Japanese CCG
T Sugimoto, H Yanaka
arXiv preprint arXiv:2204.09245, 2022
42022
Neural sentence generation from formal semantics
K Manome, M Yoshikawa, H Yanaka, P Martínez-Gómez, K Mineshima, ...
Proceedings of the 11th International Conference on Natural Language …, 2018
42018
Clustering documents on case vectors represented by predicate-argument structures-applied for eliciting technological problems from patents
H Yanaka, Y Ohsawa
2016 Federated Conference on Computer Science and Information Systems …, 2016
32016
Is Japanese CCGBank empirically correct? A case study of passive and causative constructions
D Bekki, H Yanaka
arXiv preprint arXiv:2302.14708, 2023
22023
Annotating Japanese Numeral Expressions for a Logical and Pragmatic Inference Dataset
K Koyano, H Yanaka, K Mineshima, D Bekki
Proceedings of the 18th Joint ACL-ISO Workshop on Interoperable Semantic …, 2022
22022
Logical inference for counting on semi-structured tables
T Kurosawa, H Yanaka
arXiv preprint arXiv:2204.07803, 2022
22022
Medical Visual Textual Entailment for Numerical Understanding of Vision-and-Language Models
H Yanaka, Y Nakamura, Y Chida, T Kurosawa
Proceedings of the 5th Clinical Natural Language Processing Workshop, 8-18, 2023
12023
A neuro-symbolic approach for multimodal reference expression comprehension
A Jain, AR Kondapally, K Yamada, H Yanaka
arXiv preprint arXiv:2306.10717, 2023
12023
Logic-based inference with phrase abduction using vision-and-language models
A Tomihari, H Yanaka
IEEE Access, 2023
12023
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