文献类型：期刊文献

英文题名：A cognitive interactionist sentence parser with simple recurrent networks

作者：Guo, Yi[1];Shao, Zinqing[1];Hua, Nan[2]

机构：[1]E China Univ Sci & Technol, Dept Comp Sci & Engn, Shanghai 200237, Peoples R China;[2]AF Engn Univ, Telecommun Engn Inst, Xian 710077, Peoples R China

年份：2010

卷号：180

期号：23

起止页码：4695

外文期刊名：INFORMATION SCIENCES

收录：;EI(收录号：20103813242784);WOS:【SSCI(收录号:WOS:000283389800017)，SCI-EXPANDED(收录号:WOS:000283389800017)】；

基金：This work is financially supported by Shanghai Municipal Natural Science Foundation (Giant No 09ZR1408400) and National Key Technology R&D Program of China (Grant No. 2009BAH46B03)

语种：英文

外文关键词：Cognitive; Semantics; Interactionist; Sentence parser; Simple recurrent networks

摘要：Sentence parsing has a long history in the research fields of machine learning and natural language processing The state-of-the-art technologies used to tackle this task include those based on statistical language learning In the meantime. human sentence parsing has attracted massive research efforts for decades in the field of cognitive psychology A range of behaviouristic experiments verify that the interactionist approach is a sensible and effective way to simulate the human paising mechanism This paper proposes a novel and effective sentence parser, the Cognitive Interaction's! Pat set (CIParser), which incorporates the cognitive interactionist approach with semantic information and simple recurrent networks to extend and enrich the technologies for sentence parsing Considering the parsing efficiency. CIParser processes the semantic information of nouns and verbs in current stage The performance of the Cognitive Interactionist Parser is evaluated using elaborately designed experiments using the noted SUSANNE Corpus The experimental results demonstrate that the Cognitive Interactionist Parser surpasses two state-of-the-art statistical parsers in two classical measures. Precision and Recall, of Information Retrieval (IR) (C) 2010 Elsevier Inc All rights reserved.