Browse Dept. of Computer Science by Subject "Named Entity Recognition"

  • Yu, Xiaodong (2019-04-25)
    State-of-the-art Named Entity Recognition (NER) models usually achieve high performance on entities that they have seen in training data, but a significantly lower performance on unseen entities. This is one of the key ...

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  • Kundu, Gourab (2015-01-21)
    The performance of a machine learning model trained on labeled data of a (source) domain degrades severely when they are tested on a different (target) domain. Traditional approaches deal with this problem by training a ...

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  • Ratinov, Lev (2012-05-22)
    In recent decades, the society depends more and more on computers for a large number of tasks. The first steps in NLP applications involve identification of topics, entities, concepts, and relations in text. Traditionally, ...

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