---
abstract: 'Protein-protein interaction extraction is the key precondition of the construction of protein knowledge network, and it is very important for the research in the biomedicine. This paper extracted directional protein-protein interaction from the biological text, using the SVM-based method. Experiments were evaluated on the LLL05 corpus with good results. The results show that dependency features are import for the protein-protein interaction extraction and features related to the interaction word are effective for the interaction direction judgment. At last, we analyzed the effects of different features and planed for the next step.'
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creators_id:
  - lpl1520@163.com
  - tingwang1970@163.com
creators_name:
  - family: Liu
    given: Peilei
    honourific: Mr.
    lineage: ''
  - family: Wang
    given: Ting
    honourific: Professor
    lineage: ''
date: 2014-01
date_type: completed
datestamp: 2014-08-24 21:00:19
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dir: disk0/00/00/97/44
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eprint_status: archive
eprintid: 9744
fileinfo: /style/images/fileicons/text_html.png;/9744/1/Automatic%20Extraction%20of%20Protein%EF%BC%8DProtein%20Interaction%20in%20Literature%20.doc
full_text_status: public
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lastmod: 2014-08-24 21:00:19
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metadata_visibility: show
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pubdom: TRUE
publication: no
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refereed: FALSE
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relation_type: []
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reportno: ~
rev_number: 10
series: ~
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status_changed: 2014-08-24 21:00:19
subjects:
  - comp-sci-mach-learn
  - comp-sci-speech
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title: 'Automatic Extraction of Protein Interaction in Literature '
type: bookchapter
userid: 23739
volume: ~
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