Named entity recognition tools: Difference between revisions

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Named entity recognition tools (edit)

Revision as of 10:08, 12 September 2019

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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>


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