Large-Scale Commonsense Knowledge for Default Logic Reasoning

Author:

Järv PriitORCID,Tammet Tanel,Verrev Martin,Draheim Dirk

Publisher

Springer Science and Business Media LLC

Subject

Computer Science Applications,Computer Networks and Communications,Computer Graphics and Computer-Aided Design,Computational Theory and Mathematics,Artificial Intelligence,General Computer Science

Reference53 articles.

1. Abzianidze L, Bjerva J, Evang K et al.: The parallel meaning bank: Towards a multilingual corpus of translations annotated with compositional meaning representations. In: Lapata M, Blunsom P, Koller A, editors. Proceedings of the 15th conference of the European chapter of the association for computational linguistics, EACL 2017, Valencia, Spain, April 3–7, 2017, Volume 2: short papers. Association for Computational Linguistics; 2017. p. 242–247. https://doi.org/10.18653/v1/e17-2039.

2. Álvez J, Lucio P, Rigau G. Adimen-sumo: reengineering an ontology for first-order reasoning. Int J Semantic Web Inf Syst. 2012;8(4):80–116. https://doi.org/10.4018/jswis.2012100105.

3. Angeli G, Premkumar MJJ, Manning CD. Leveraging linguistic structure for open domain information extraction. In: Proceedings of the 53rd annual meeting of the association for computational linguistics and the 7th international joint conference on natural language processing (volume 1: long papers), 2015. p. 344–354.

4. Arabshahi F, Lee J, Bosselut A, et al. Conversational multi-hop reasoning with neural commonsense knowledge and symbolic logic rules. In: Proceedings of the 2021 conference on empirical methods in natural language processing. 2021. p. 7404–7418.

5. Arnaout H, Razniewski S, Weikum G, et al. Uncommonsense: informative negative knowledge about everyday concepts. In: Hasan MA, Xiong L, editors. Proceedings of the 31st ACM international conference on information & knowledge management, Atlanta, October 17–21, 2022. 2022; ACM. p. 37–46. https://doi.org/10.1145/3511808.3557484.

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