Markov Models for Language-independent Named Entity Recognition
نویسنده
چکیده
This report describes the application of Markov models to the problem of language-independent named entity recognition for the CoNLL-2002 shared task (Tjong Kim Sang, 2002). We approach the problem of identifying named entities as a kind of probabilistic tagging: given a sequence of words w1 : : :wn, we want to find the corresponding sequence of tags t1 : : : tn, drawn from a vocabulary of possible tags T , which satisfies:
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