Difference between revisions of "Named entity recognition tools"

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Revision as of 00:22, 12 September 2019

Named entity recognition (NER) 或稱命名實體辨識、專有名詞辨識

CKIP Neural Chinese Word Segmentation, POS Tagging, and NER

ckiplab/ckiptagger: CKIP Neural Chinese Word Segmentation, POS Tagging, and NER

Class name in EnglishClass name in Chinese
person人名
norp團體
facility設施
organization組織
gpe地理
location地點
product商品
event事件
work of art藝術品
law法律
language語言
date日期
time時間
percent比例
money
quantity數量
ordinal序數
cardinal數詞

Stanford CoreNLP

Stanford CoreNLP – Natural language software | Stanford CoreNLP

  • license: GNU General Public License v3 Good!
  • language support:
  • classes of entity: "For English, by default, this annotator recognizes named (PERSON, LOCATION, ORGANIZATION, MISC), numerical (MONEY, NUMBER, ORDINAL, PERCENT), and temporal (DATE, TIME, DURATION, SET) entities (12 classes). [2]"

Google Cloud Natural Language

Cloud Natural Language  |  Cloud Natural Language API  |  Google Cloud

Amazon Comprehend

Amazon Comprehend – 自然語言處理(NLP) 和機器學習 (ML)

  • license:
  • language support:
  • classes of entity: "COMMERCIAL_ITEM, DATE, EVENT, LOCATION, ORGANIZATION, OTHER, PERSON, QUANTITY and TITLE"[3]

IBM Watson

Watson Natural Language Understanding

  • license:
  • language support:
  • classes of entity: "Date, Duration, EmailAddress, Facility, GeographicFeature, Hashtag, IPAddress, JobTitle, Location and more ..."[4]

spaCy

spaCy · Industrial-strength Natural Language Processing in Python

  • license:
  • language support:
  • classes of entity: "PERSON, NORP, FAC, ORG, GPE, LOC, PRODUCT, EVENT, WORK_OF_ART, LAW, LANGUAGE, DATE, TIME, PERCENT, MONEY, QUANTITY, ORDINAL and CARDINAL [5]"

References