Learning Semantic Textual Relatedness using Natural Deduction Proofs-Reference-Cited by-同舟云学术

Learning Semantic Textual Relatedness using Natural Deduction Proofs

Published:2018-06-15 Issue:3 Volume:25 Page:295-324
ISSN:1340-7619
Container-title:Journal of Natural Language Processing
language:en
Short-container-title:Journal of Natural Language Processing

Author:

Yanaka Hitomi¹,Mineshima Koji²,Martínez-Gómez Pascual³,Bekki Daisuke²

Affiliation:

1. The University of Tokyo

2. Ochanomizu University

3. National Institute of Advanced Industrial Science and Technology

Publisher

Association for Natural Language Processing

Link

https://www.jstage.jst.go.jp/article/jnlp/25/3/25_295/_pdf

Reference45 articles.

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2. Abzianidze, L. (2016). “Natural Solution to FraCaS Entailment Problems.” In Proceedings of the 5th Joint Conference on Lexical and Computational Semantics, pp. 64–74.

3. Agirre, E., Cer, D., Diab, M., and Gonzalez-Agirre, A. (2012). “SemEval-2012 Task 6: A Pilot on Semantic Textual Similarity.” In Proceedings of the 6th International Workshop on Semantic Evaluation (SemEval-2012), pp. 385–393.

4. Bär, D., Biemann, C., Gurevych, I., and Zesch, T. (2012). “UKP: Computing Semantic Textual Similarity by Combining Multiple Content Similarity Measures.” In Proceedings of the 6th International Workshop on Semantic Evaluation (SemEval-2012), pp. 435–440.

5. Bekki, D. and Mineshima, K. (2017). “Context-Passing and Underspecification in Dependent Type Semantics.” In Chatzikyriakidis, S. and Luo, Z. (Eds.), Modern Perspectives in Type Theoretical Semantics, Studies of Linguistics and Philosophy, pp. 11–41. Springer.