Named Entity Recognition

Our named entity recognizer uses both sparse and dense features extracted from named entity gazetteers, word clusters, and word embeddings. It processes over 47K tokens per second on an Intel Xeon 2.30GHz machine and shows the state-of-the-art accuracy (91.0% on the CoNLL'03 corpus).

English Tags

Tag Description Version
PERSON People, including fictional 1.0.0
NORP Nationalities or religious or political groups 1.0.0
FAC Buildings, airports, highways, bridges, etc. 1.0.0
ORG Companies, agencies, institutions, etc. 1.0.0
GPE Countries, cities, states 1.0.0
LOC Non-GPE locations, mountain ranges, bodies of water 1.0.0
PRODUCT Vehicles, weapons, foods, etc. (not services) 1.0.0
EVENT Named hurricanes, battles, wars, sports events, etc. 1.0.0
WORK OF ART Titles of books, songs, etc. 1.0.0
LAW Named documents made into laws 1.0.0
LANGUAGE Any named language 1.0.0
DATE Absolute or relative dates or periods 1.0.0
TIME Times smaller than a day 1.0.0
PERCENT Percentage (including "%") 1.0.0
MONEY Monetary values, including unit 1.0.0
QUANTITY Measurements, as of weight or distance 1.0.0
ORDINAL Ordinals (e.g., "first", "1st") 1.0.0
CARDINAL Numerals that do not fall under another type 1.0.0