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
252019
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
212019
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
152020
Acquisition of phrase correspondences using natural deduction proofs
H Yanaka, K Mineshima, P Martínez-Gómez, D Bekki
arXiv preprint arXiv:1804.07656, 2018
82018
Determining semantic textual similarity using natural deduction proofs
H Yanaka, K Mineshima, P Martínez-Gómez, D Bekki
arXiv preprint arXiv:1707.08713, 2017
72017
Multimodal logical inference system for visual-textual entailment
R Suzuki, H Yanaka, M Yoshikawa, K Mineshima, D Bekki
arXiv preprint arXiv:1906.03952, 2019
42019
SyGNS: A Systematic Generalization Testbed Based on Natural Language Semantics
H Yanaka, K Mineshima, K Inui
arXiv preprint arXiv:2106.01077, 2021
22021
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
22016
Do Grammatical Error Correction Models Realize Grammatical Generalization?
M Mita, H Yanaka
arXiv preprint arXiv:2106.03031, 2021
12021
Exploring Transitivity in Neural NLI Models through Veridicality
H Yanaka, K Mineshima, K Inui
arXiv preprint arXiv:2101.10713, 2021
12021
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
12018
Building a Video-and-Language Dataset with Human Actions for Multimodal Logical Inference
R Suzuki, H Yanaka, K Mineshima, D Bekki
arXiv preprint arXiv:2106.14137, 2021
2021
Learning Semantic Textual Relatedness using Natural Deduction Proofs
H YANAKA, K MINESHIMA, P MARTINEZ-GOMEZ, D BEKKI
自然言語処理 25 (3), 295-324, 2018
2018
Clustering Documents Using Structural Similarity Based on Case Sets-Applied for Technological Problems from Patents
H Yanaka, Y Ohsawa
2nd European Workshop on Chance Discovery and Data Synthesis (EWCDDS16), 1, 2016
2016
Issue Tracking System Using Data Jacket in the Same Business
H Yanaka, Y Ohsawa
IEICE Technical Report; IEICE Tech. Rep. 115 (337), 23-27, 2015
2015
Do Neural Models Learn Transitivity of Veridical Inference?
H Yanaka, K Mineshima, K Inui
Ϋϥ΢ υιʔγϯάʹΑΔ୯ௐਪ࿦ σʔληοτͷߏங
H Yanaka, D Bekki, K Mineshima, S Sekine, K Inui
ςΩετ৘ ใ ͱը૾৘ ใ Λ૊ Έ߹ Θͤͨ࿦ ཧਪ࿦ γεςϜͷߏங
R Suzuki, M Yoshikawa, H Yanaka, K Mineshima, D Bekki
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