Multi-level Modeling of Structural Elements of Natural Language Texts and Its Applications-Reference-Cited by-同舟云学术

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Multi-level Modeling of Structural Elements of Natural Language Texts and Its Applications

Published:2018-08-24 Issue: Volume: Page:1-8
ISSN:2194-5357
Container-title:Biologically Inspired Cognitive Architectures 2018
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Author:

Anikin Anton,Sychev Oleg,Gurtovoy Vladislav

Publisher

Springer International Publishing

Link

http://link.springer.com/content/pdf/10.1007/978-3-319-99316-4_1

Reference18 articles.

1. Anikin, A., Litovkin, D., Kultsova, M., Sarkisova, E.: Ontology-based collaborative development of domain information space for learning and scientific research. In: Ngonga Ngomo, A.C., Křemen, P. (eds.) Proceedings of Knowledge Engineering and Semantic Web: 7th International Conference, KESW 2016, 21-23 September 2016, Prague, Czech Republic, pp. 301–315 (2016)

2. Baker, C.F., Fillmore, C.J., Lowe, J.B.: The berkeley FrameNet project. In: COLING-ACL 1998, Proceedings of the Conference, Montreal, Canada, pp. 86–90 (1998)

3. Balikas, G., Amini, M.R., Clausel, M.: On a topic model for sentences. In: Proceedings of the 39th International ACM SIGIR Conference on Research and Development in Information Retrieval, pp. 921–924. SIGIR 2016. ACM, New York (2016). https://doi.org/10.1145/2911451.2914714

4. Bense, H.: Using very large scale ontologies for natural language generation. In: JOWO. CEUR Workshop Proceedings, vol. 2050. CEUR-WS.org (2017)

5. Blei, D.M., Lafferty, J.D.: Dynamic topic models. In: Proceedings of the 23rd International Conference on Machine Learning, ICML 2006, pp. 113–120. ACM, New York (2006). https://doi.org/10.1145/1143844.1143859

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