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 | 89 | 2019 |
Higher-order logical inference with compositional semantics K Mineshima, P Martínez-Gómez, Y Miyao, D Bekki Proceedings of the 2015 Conference on Empirical Methods in Natural Language …, 2015 | 86 | 2015 |
Representing anaphora with dependent types D Bekki International conference on logical aspects of computational linguistics, 14-29, 2014 | 72 | 2014 |
ccg2lambda: A compositional semantics system P Martínez-Gómez, K Mineshima, Y Miyao, D Bekki Proceedings of ACL-2016 System Demonstrations, 85-90, 2016 | 65 | 2016 |
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 | 64 | 2019 |
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 | 54 | 2020 |
On-demand injection of lexical knowledge for recognising textual entailment PM Gómez, K Mineshima, Y Miyao, D Bekki Proceedings of the 15th Conference of the European Chapter of the …, 2017 | 41 | 2017 |
Context-passing and underspecification in dependent type semantics D Bekki, K Mineshima Modern perspectives in type-theoretical semantics, 11-41, 2017 | 41 | 2017 |
Ci via dts D Bekki, E McCready New Frontiers in Artificial Intelligence: JSAI-isAI 2014 Workshops, LENLS …, 2015 | 29 | 2015 |
Acquisition of phrase correspondences using natural deduction proofs H Yanaka, K Mineshima, P Martínez-Gómez, D Bekki arXiv preprint arXiv:1804.07656, 2018 | 26 | 2018 |
Building compositional semantics and higher-order inference system for a wide-coverage Japanese CCG parser K Mineshima, R Tanaka, PM Gómez, Y Miyao, D Bekki Proceedings of the 2016 Conference on Empirical Methods in Natural Language …, 2016 | 23 | 2016 |
An inference problem set for evaluating semantic theories and semantic processing systems for japanese A Kawazoe, R Tanaka, K Mineshima, D Bekki New Frontiers in Artificial Intelligence: JSAI-isAI 2015 Workshops, LENLS …, 2017 | 20 | 2017 |
Multimodal logical inference system for visual-textual entailment R Suzuki, H Yanaka, M Yoshikawa, K Mineshima, D Bekki arXiv preprint arXiv:1906.03952, 2019 | 19 | 2019 |
Factivity and presupposition in dependent type semantics R Tanaka, K Mineshima, D Bekki Journal of Language Modelling 5, 2017 | 19 | 2017 |
Logical polysemy and subtyping D Bekki, N Asher New Frontiers in Artificial Intelligence: JSAI-isAI 2012 Workshops, LENLS …, 2013 | 17 | 2013 |
Monads and meta-lambda calculus D Bekki Annual Conference of the Japanese Society for Artificial Intelligence, 193-208, 2008 | 16 | 2008 |
Logical inferences with comparatives and generalized quantifiers I Haruta, K Mineshima, D Bekki arXiv preprint arXiv:2005.07954, 2020 | 14 | 2020 |
Dependent type semantics: an introduction D Bekki Logic and Interactive RAtionality (LIRa) Yearbook 1, 277-300, 2012 | 14 | 2012 |
Calculating projections via type checking D Bekki, M Satoh ESSLLI proceedings of the TYTLES workshop on Type Theory and Lexical …, 2015 | 13 | 2015 |
Representing covert movements by delimited continuations D Bekki, K Asai New Frontiers in Artificial Intelligence: JSAI-isAI 2009 Workshops, LENLS …, 2010 | 13 | 2010 |