Evaluation of named entity coreference

    Oshin Agarwal
    Oshin Agarwal
    Ani Nenkova
    Ani Nenkova

    Proceedings of the Second Workshop on Computational Models of Reference, Anaphora and Coreference, pp. 1-7, 2019.

    Cited by: 2|Bibtex|Views2|Links

    Abstract:

    In many NLP applications like search and information extraction for named entities, it is necessary to find all the mentions of a named entity, some of which appear as pronouns (she, his, etc.) or nominals (the professor, the German chancellor, etc.). It is therefore important that coreference resolution systems are able to link these dif...More

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