Improving Named Entity Recognition using Annotated Corpora
نویسندگان
چکیده
Lists of names are an important knowledge source for many systems which carry out named entity recognition. It is shown that augmenting hand-crafted lists with those derived from corpora can improve their performance. Two methods for improving automatically acquired lists are presented. The best corpus-derived lists are shown to out-perform the hand-crafted ones by 4%.
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تاریخ انتشار 2000