Error analysis for anaphora resolution in Russian: new challenging issues for anaphora resolution task in a morphologically rich languageтезисы доклада Тезисы

Дата последнего поиска статьи во внешних источниках: 11 апреля 2017 г.

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[1] Error analysis for anaphora resolution in russian: new challenging issues for anaphora resolution task in a morphologically rich language / S. Toldova, I. Azerkovich, A. Roytberg et al. // Proceedings of the Workshop on Coreference Resolution Beyond OntoNotes (CORBON 2016), co-located with NAACL 2016, San Diego, California, June 16, 2016. — Association for computational linguistics Michigan, 2016. — P. 74–83. This paper presents a quantitative and qualitative error analysis of Russian anaphora resolvers which participated in the RU-EVAL event. Its aim is to identify and characterize a set of challenging errors common to stateof-the-art systems dealing with Russian. We examined three types of pronouns: 3rd person pronouns, reflexive and relative pronouns. The investigation has shown that a high level of grammatical ambiguity, specific features of reflexive pronouns, free word order and special cases of non-referential pronouns in Russian impact the quality of anaphora resolution systems. Error analysis reveals some specific features of anaphora resolution for morphologically rich and free word order languages with a lack of gold standard resources.

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