Abstract
Semantic information has been deemed a valuable resource for solving the task of coreference resolution by many researchers. Unfortunately, not much has been done in the direction of using this data when working with Russian data. This work describes the first step of a research, attempting to create a coreference resolution system for Russian based on semantic data, concerned with using Wikipedia information for the task. The obtained results are comparable to ones for English data, which gives reasons to expect their improvement in further steps of the research.
Keywords
This is a preview of subscription content, log in via an institution.
Buying options
Tax calculation will be finalised at checkout
Purchases are for personal use only
Learn about institutional subscriptionsReferences
Bengtson, E., Roth, D.: Understanding the value of features for coreference resolution. In: Proceedings of the Conference on Empirical Methods in Natural Language Processing, pp. 294–303. Association for Computational Linguistics (2008)
Bogdanov, A.V., Dzhumaev, S.S., Skorinkin, D.A., Starostin, A.S.: Anaphora analysis based on ABBYY Compreno linguistic technologies. In: Computational Linguistics and Intellectual Technologies: Proceedings of the International Conference “Dialogue 2014”, pp. 89–102. Moscow, Publishing Center RSUH (2014)
Bunescu, R., Marius, P.: Using encyclopedic knowledge for named entity disambiguation. In: Proceedings of the 11th Conference of the European Chapter of the Association for Computational Linguistics (EACL-06), pp. 9–16, Trento, Italy (2006)
Kamenskaya, M.A., Khramoin, I.V., Smirnov, I.V.: Data driven methods for anaphora resolution of Russian texts. In: Computational Linguistics and Intellectual Technologies: Proceedings of the International Conference “Dialogue 2014”, pp. 241–250. Moscow, Publishing Center RSUH (2014)
Kutuzov, A.B., Ionov, M.: The impact of morphology processing quality on automated anaphora resolution for Russian. In: Computational Linguistics and Intellectual Technologies: Proceedings of the International Conference “Dialogue 2014”, pp. 232–240. Moscow, Publishing Center RSUH (2014)
Loukachevitch, N., Dobrov, B., Chetviorkin, I.: RuThes-lite, a publicly available version of thesaurus of Russian language RuThes. In: Computational Linguistics and Intellectual Technologies: Papers from the Annual International Conference “Dialogue 2014” (2014)
Ponzetto, S.P., Strube, M.: Exploiting semantic role labeling, WordNet and Wikipedia for coreference resolution. In: Proceedings of the Main Conference on Human Language Technology Conference of the North American Chapter of the Association of Computational Linguistics, pp. 192–199. Association for Computational Linguistics (2006)
Rahman, A., Ng, V.: Supervised models for coreference resolution. In: Proceedings of the 2009 Conference on Empirical Methods in Natural Language Processing, vol. 2, pp. 968–977. Association for Computational Linguistics (2009)
Rahman, A., Ng, V.: Coreference resolution with world knowledge. In: Proceedings of the 49th Annual Meeting of the Association for Computational Linguistics: Human Language Technologies, vol. 1, pp. 814–824. Association for Computational Linguistics (2011)
Recasens, M., de Marneffe, M., Potts, C.: The life and death of discourse entities: identifying singleton mentions. In: Proceedings of NAACL-HLT, pp. 627–633 (2013)
Schmid, H.: Probabilistic part-of-speech tagging using decision trees. In: Proceedings of the International Conference on New Methods in Language Processing, vol. 12. pp. 44–49. Citeseer (1994)
Starostin, A.S., Bocharov, V.V., Alexeeva, S.V., Bodrova, A.A., Chuchunkov, A.S., Dzhumaev, S.S., Efimenko, I.V., Granovsky, D.V., Khoroshevsky, V.F., Krylova, I.V., Nikolaeva, M.A., Smurov, I.M., Toldova, S.Y.: FactRuEval 2016: evaluation of named entity recognition and fact extraction systems for Russian. In: Computational Linguistics and Intellectual Technologies: Proceedings of the International Conference “Dialogue 2016”, pp. 702–720. Moscow, Publishing Center RSUH (2016)
Strube, M., Ponzetto, S.P.: WikiRelate! Computing semantic relatedness using Wikipedia. In: AAAI, vol. 6, pp. 1419–1424 (2006)
Sysoev, A.A., Andrianov, I.A., Khadzhiiskaia, A.Y.: Coreference resolution in Russian: state-of-the-art approaches application and evolvement. In: Computational Linguistics and Intellectual Technologies: Papers from the Annual International Conference “Dialogue 2017”, vol. 1, pp. 327–338. Moscow, Publishing Center RSUH (2017)
Toldova, S.Ju., Roytberg, A., Ladygina, A.A, Vasilyeva, M.D., Azerkovich, I.L., Kurzukov, M., Sim, G., Gorshkov, D.V., Ivanova, A., Nedoluzhko, A., Grishina, Y.: Ru-Eval-2014: evaluating anaphora and coreference resolution for Russian. In: Computational Linguistics and Intellectual Technologies: Proceedings of the International Conference “Dialogue 2014”, pp. 681–694. Moscow, Publishing Center RSUH (2014)
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2018 Springer International Publishing AG
About this paper
Cite this paper
Azerkovich, I. (2018). Employing Wikipedia Data for Coreference Resolution in Russian. In: Filchenkov, A., Pivovarova, L., Žižka, J. (eds) Artificial Intelligence and Natural Language. AINL 2017. Communications in Computer and Information Science, vol 789. Springer, Cham. https://doi.org/10.1007/978-3-319-71746-3_9
Download citation
DOI: https://doi.org/10.1007/978-3-319-71746-3_9
Published:
Publisher Name: Springer, Cham
Print ISBN: 978-3-319-71745-6
Online ISBN: 978-3-319-71746-3
eBook Packages: Computer ScienceComputer Science (R0)