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Recognizing named entities in tweets

Xem 1-1 trên 1 kết quả Recognizing named entities in tweets
  • The challenges of Named Entities Recognition (NER) for tweets lie in the insufficient information in a tweet and the unavailability of training data. We propose to combine a K-Nearest Neighbors (KNN) classifier with a linear Conditional Random Fields (CRF) model under a semi-supervised learning framework to tackle these challenges. The KNN based classifier conducts pre-labeling to collect global coarse evidence across tweets while the CRF model conducts sequential labeling to capture fine-grained information encoded in a tweet. ...

    pdf9p hongdo_1 12-04-2013 27 1   Download

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