Ming-Lun Cai

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This paper presents the NTUNLP systems in the long track and the short track of the Entity Recognition and Disambiguation Challenge 2014. We first create a dictionary that contains the possible surface forms of Freebase Ids, then scan the given text from left to right with the longest match strategy to detect the mentions, and eliminate the unwanted surface(More)
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