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Tree Kernel-based Protein-Protein Interaction Extraction Considering both Modal Verb Phrases and Appositive Dependency Features

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成果类型:
期刊论文、会议论文
作者:
Ma, Changlin*;Zhang, Yong;Zhang, Maoyuan
通讯作者:
Ma, Changlin
作者机构:
[Ma, Changlin; Zhang, Maoyuan; Zhang, Yong] Cent China Normal Univ, Sch Comp, Wuhan 430079, Hubei, Peoples R China.
通讯机构:
[Ma, Changlin] C
Cent China Normal Univ, Sch Comp, Wuhan 430079, Hubei, Peoples R China.
语种:
英文
关键词:
Protein-protein interaction extraction;Modal verb phrases;Appositive dependency features;EOEP-CPT algorithm
期刊:
WWW 2015 Companion - Proceedings of the 24th International Conference on World Wide Web
年:
2015
页码:
655-660
会议论文集名称:
WWW '15 Companion: Proceedings of the 24th International Conference on World Wide Web
会议主办单位:
[Ma, Changlin;Zhang, Yong;Zhang, Maoyuan] Cent China Normal Univ, Sch Comp, Wuhan 430079, Hubei, Peoples R China.
出版地:
New York, NY, United States
出版者:
Association for Computing Machinery
ISBN:
9781450334730
机构署名:
本校为第一且通讯机构
院系归属:
计算机学院
摘要:
Protein-protein interaction plays an important role in understanding biological processes. In order to resolve the parsing error resulted from modal verb phrases and the noise interference brought by appositive dependency, an improved tree kernel-based PPI extraction method is proposed in this paper. Both modal verbs and appositive dependency features are considered to define some relevant processing rules which can effectively optimize and expand the shortest dependency path between two proteins in the new method. On the basis of these rules, the effective optimization and expanding path is u...

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