Token Gazetteer and Character Gazetteer for Named Entity Recognition
نویسندگان
چکیده
Named entity recognition (NER) in information extraction (IE) systems is usually based on large gazetteers — datasets of well-known and classified entities. NER is also often performed by independent look-up piece of code, which is considered as a bottleneck of many NER systems. In this paper, we present two approaches for building tree gazetteers for NER; i.e. lookup by token and by character.
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