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Pre-Experiments on Annotation of Russian Coreference Corpus"

Author

Listed:
  • Svetlana Toldova

    (National Research University Higher School of Economics)

  • Ilya Azerkovich

    (National Research University Higher School of Economics)

  • Yulia Grishina

    (University of Potsdam)

  • Alina Ladygina

    (University of Tubingen)

  • Olga Lyashevkaya

    (National Research University Higher School of Economics)

  • Anna Roytberg

    (National Research University Higher School of Economics)

  • Galina Sim

    (Lomonosov Moscow State University)

  • Maria Vasilieva

    (Lomonosov Moscow State University)

Abstract

Building benchmark corpora in the domain of coreference and anaphora resolution is an important task for developing and evaluating NLP systems and models. Our study is aimed at assessing the feasibility of enhancing corpora with information about coreference relations. The annotation procedure includes identification of text segments that are subject to annotation (markables), marking their syntactic heads and identifying coreferential links. Markables are classified according to their morphological, syntactic and reference structure. The annotation is performed manually, providing gold standard data for high-level NLP tasks such as anaphora and coreference resolution. The paper reports on inconsistencies in selecting NPs of various types as markables and their borders, and in ways of constructing anaphoric pairs. We consider the types of NPs missed by annotators, and the discourse and semantic factors that may have affected the annotators’ judgements

Suggested Citation

  • Svetlana Toldova & Ilya Azerkovich & Yulia Grishina & Alina Ladygina & Olga Lyashevkaya & Anna Roytberg & Galina Sim & Maria Vasilieva, 2015. "Pre-Experiments on Annotation of Russian Coreference Corpus"," HSE Working papers WP BRP 35/LNG/2015, National Research University Higher School of Economics.
    • Handle: RePEc:hig:wpaper:35/lng/2015
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    Keywords

    anaphora; coreference; coreference corpus; Russian language; corpus annotation; inter-annotator agreement.;
    All these keywords.

    JEL classification:

    • Z - Other Special Topics

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