Constructing Biological Knowledge Base using Named Entities Recognition and Term Collocation

Constructing Biological Knowledge Base using Named Entities Recognition and Term Collocation

Over the last few decades, the publishing of biological literature has dramatically increased due to technological developments. Thus, a crucial process is to extract information from this large number of writings by utilizing a biological named entity (NER) approach to automatically label correspon...

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Bibliographic Details
Main Authors: Supattanawaree Thipcharoen, Watshara Shoombuatong, Samerkae Somhom, Rattasit Sukahut, Jeerayut Chaijaruwanich
Language:English
Published: Science Faculty of Chiang Mai University 2019
Subjects:
Biological information extraction
Biological Named Entity Recognition
Conditional Random Fields
Poisson Collocations
Online Access:http://it.science.cmu.ac.th/ejournal/dl.php?journal_id=6824
http://cmuir.cmu.ac.th/jspui/handle/6653943832/66125
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Institution: Chiang Mai University
Language: English

Internet

http://it.science.cmu.ac.th/ejournal/dl.php?journal_id=6824
http://cmuir.cmu.ac.th/jspui/handle/6653943832/66125

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