Difference between revisions of "Named entity recognition tools"

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* license: [https://github.com/ckiplab/ckiptagger/blob/master/LICENSE GNU General Public License v3.0] {{Gd}}
 
* license: [https://github.com/ckiplab/ckiptagger/blob/master/LICENSE GNU General Public License v3.0] {{Gd}}
 
* language support: Traditional Chinese
 
* language support: Traditional Chinese
 +
* programming language: Python
 
* classes of entity<ref>[https://iptt.sinica.edu.tw/uploads/datas/2019/4/a251a61991139dc023d3559e93cd8d65.pdf 中文專有名詞辨識系統  簡報]</ref>
 
* classes of entity<ref>[https://iptt.sinica.edu.tw/uploads/datas/2019/4/a251a61991139dc023d3559e93cd8d65.pdf 中文專有名詞辨識系統  簡報]</ref>
  
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* license: GNU General Public License v3 {{Gd}}
 
* license: GNU General Public License v3 {{Gd}}
 
* language support:
 
* language support:
 +
* programming language: Java
 
* 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). <ref>[https://stanfordnlp.github.io/CoreNLP/ner.html#description Named Entity Recognition – NERClassifierCombiner | Stanford CoreNLP]</ref>"
 
* 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). <ref>[https://stanfordnlp.github.io/CoreNLP/ner.html#description Named Entity Recognition – NERClassifierCombiner | Stanford CoreNLP]</ref>"
  
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* license: [https://github.com/explosion/spaCy/blob/master/LICENSE MIT License] {{Gd}}
 
* license: [https://github.com/explosion/spaCy/blob/master/LICENSE MIT License] {{Gd}}
 
* language support:
 
* language support:
 +
* programming language: Python
 
* classes of entity: "PERSON, NORP, FAC, ORG, GPE, LOC, PRODUCT, EVENT, WORK_OF_ART, LAW, LANGUAGE, DATE, TIME, PERCENT, MONEY, QUANTITY, ORDINAL and CARDINAL <ref>[https://spacy.io/api/annotation#named-entities Annotation Specifications · spaCy API Documentation]</ref>"
 
* classes of entity: "PERSON, NORP, FAC, ORG, GPE, LOC, PRODUCT, EVENT, WORK_OF_ART, LAW, LANGUAGE, DATE, TIME, PERCENT, MONEY, QUANTITY, ORDINAL and CARDINAL <ref>[https://spacy.io/api/annotation#named-entities Annotation Specifications · spaCy API Documentation]</ref>"
  
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* license:  
 
* license:  
 
* language support: [https://cloud.google.com/natural-language/docs/languages 語言支援  |  Cloud Natural Language API  |  Google Cloud] included Traditional Chinese
 
* language support: [https://cloud.google.com/natural-language/docs/languages 語言支援  |  Cloud Natural Language API  |  Google Cloud] included Traditional Chinese
 +
* programming language: multiple
 
* classes of entity: Details on [https://cloud.google.com/natural-language/docs/reference/rest/v1/Entity Entity  |  Cloud Natural Language API  |  Google Cloud] -> Type of the entity e.g. "UNKNOWN, PERSON, LOCATION, ORGANIZATION, EVENT, WORK_OF_ART, CONSUMER_GOOD, OTHER, PHONE_NUMBER, ADDRESS, DATE, NUMBER and PRICE"
 
* classes of entity: Details on [https://cloud.google.com/natural-language/docs/reference/rest/v1/Entity Entity  |  Cloud Natural Language API  |  Google Cloud] -> Type of the entity e.g. "UNKNOWN, PERSON, LOCATION, ORGANIZATION, EVENT, WORK_OF_ART, CONSUMER_GOOD, OTHER, PHONE_NUMBER, ADDRESS, DATE, NUMBER and PRICE"
  
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* license:  
 
* license:  
 
* language support:
 
* language support:
 +
* programming language:
 
* classes of entity: "COMMERCIAL_ITEM, DATE, EVENT, LOCATION, ORGANIZATION, OTHER, PERSON, QUANTITY and TITLE"<ref>[https://docs.aws.amazon.com/comprehend/latest/dg/how-entities.html Detect Entities - Amazon Comprehend]</ref>
 
* classes of entity: "COMMERCIAL_ITEM, DATE, EVENT, LOCATION, ORGANIZATION, OTHER, PERSON, QUANTITY and TITLE"<ref>[https://docs.aws.amazon.com/comprehend/latest/dg/how-entities.html Detect Entities - Amazon Comprehend]</ref>
  
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* license:  
 
* license:  
 
* language support:
 
* language support:
 +
* programming language:
 
* classes of entity: "Date, Duration, EmailAddress, Facility, GeographicFeature, Hashtag, IPAddress, JobTitle, Location and more ..."<ref>[https://cloud.ibm.com/docs/services/natural-language-understanding?topic=natural-language-understanding-entity-types-version-2&locale=en Entity types (Version 2)]</ref>
 
* classes of entity: "Date, Duration, EmailAddress, Facility, GeographicFeature, Hashtag, IPAddress, JobTitle, Location and more ..."<ref>[https://cloud.ibm.com/docs/services/natural-language-understanding?topic=natural-language-understanding-entity-types-version-2&locale=en Entity types (Version 2)]</ref>
  
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* license:  
 
* license:  
 
* language support: Traditional Chinese
 
* language support: Traditional Chinese
 +
* programming language:
 
* classes of entity: "person, location, time, measurement and more ... <ref>[https://api.droidtown.co/document/ 卓騰語言科技中文斷詞 API]</ref>"
 
* classes of entity: "person, location, time, measurement and more ... <ref>[https://api.droidtown.co/document/ 卓騰語言科技中文斷詞 API]</ref>"
  
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* license:  
 
* license:  
 
* language support: simplified Chinese
 
* language support: simplified Chinese
 +
* programming language: multiple
 
* classes of entity: "time, location, person_name, org_name, company_name, product_name and job_title <ref>[http://docs.bosonnlp.com/ner.html 命名实体识别 — BosonNLP HTTP API 1.0 documentation]</ref>"
 
* classes of entity: "time, location, person_name, org_name, company_name, product_name and job_title <ref>[http://docs.bosonnlp.com/ner.html 命名实体识别 — BosonNLP HTTP API 1.0 documentation]</ref>"
  
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<tr><td>product_name</td><td>产品名</td><td>產品名</td></tr>
 
<tr><td>product_name</td><td>产品名</td><td>產品名</td></tr>
 
<tr><td>job_title</td><td>职位</td><td>職位</td></tr>
 
<tr><td>job_title</td><td>职位</td><td>職位</td></tr>
 +
</table>
 +
 +
== 百度AI开放平台 ==
 +
[https://ai.baidu.com/tech/nlp 语言处理基础技术-百度AI开放平台] "专名识别"<ref>[https://ai.baidu.com/docs#/NLP-Basic-API/63eec4cf 词法分析接口]</ref>
 +
* license:
 +
* language support: simplified Chinese
 +
* programming language: multiple
 +
* classes of entity:
 +
<table border="1" class="wikitable sortable">
 +
<tr><th>Class name in English (缩略词)</th><th>Class name in Simplified Chinese</th><th>Class name in Traditional Chinese</th></tr>
 +
<tr><td>PER</td><td>人名</td><td>人名</td></tr>
 +
<tr><td>LOC</td><td>地名</td><td>地名</td></tr>
 +
<tr><td>ORG</td><td>机构名</td><td>機構名</td></tr>
 +
<tr><td>TIME</td><td>时间</td><td>時間</td></tr>
 
</table>
 
</table>
  

Revision as of 10:08, 12 September 2019

Named entity recognition (NER) 或稱命名實體識別、實體識別、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 Traditional 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:
  • programming language: Java
  • 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]"

spaCy

spaCy · Industrial-strength Natural Language Processing in Python

  • license: MIT License Good!
  • language support:
  • programming language: Python
  • classes of entity: "PERSON, NORP, FAC, ORG, GPE, LOC, PRODUCT, EVENT, WORK_OF_ART, LAW, LANGUAGE, DATE, TIME, PERCENT, MONEY, QUANTITY, ORDINAL and CARDINAL [3]"

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:
  • programming language:
  • classes of entity: "COMMERCIAL_ITEM, DATE, EVENT, LOCATION, ORGANIZATION, OTHER, PERSON, QUANTITY and TITLE"[4]

IBM Watson

Watson Natural Language Understanding

  • license:
  • language support:
  • programming language:
  • classes of entity: "Date, Duration, EmailAddress, Facility, GeographicFeature, Hashtag, IPAddress, JobTitle, Location and more ..."[5]

卓騰語言科技中文斷詞

卓騰語言科技中文斷詞 API

  • license:
  • language support: Traditional Chinese
  • programming language:
  • classes of entity: "person, location, time, measurement and more ... [6]"

BosonNLP

BosonNLP

  • license:
  • language support: simplified Chinese
  • programming language: multiple
  • classes of entity: "time, location, person_name, org_name, company_name, product_name and job_title [7]"
Class name in EnglishClass name in Simplified ChineseClass name in Traditional Chinese
time时间時間
location地点地點
person_name人名人名
org_name组织名組織名
company_name公司名公司名
product_name产品名產品名
job_title职位職位

百度AI开放平台

语言处理基础技术-百度AI开放平台 "专名识别"[8]

  • license:
  • language support: simplified Chinese
  • programming language: multiple
  • classes of entity:
Class name in English (缩略词)Class name in Simplified ChineseClass name in Traditional Chinese
PER人名人名
LOC地名地名
ORG机构名機構名
TIME时间時間

References