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On the Syntactic Structure of English Get-passive
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作者 邓元 《海外英语》 2017年第20期217-218,226,共3页
We summarized the interpretations of syntactic structure of English get-passive based on the analyses of passive get and the get-passive. We conclude that the passive get in get-passive equals to a lexical verb consid... We summarized the interpretations of syntactic structure of English get-passive based on the analyses of passive get and the get-passive. We conclude that the passive get in get-passive equals to a lexical verb considering its syntactic representation and the get-passive represent itself as an actional passive of which the subject is responsible for the event denoted by the action.Concerning the interpretation, we consider get-passive as a reflexive ECM(exceptional case-marking)-construction. 展开更多
关键词 Get-passive syntactic structure a reflexive ECM-construction
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A Hybrid Method of Domain Lexicon Construction for Opinion Targets Extraction Using Syntax and Semantics 被引量:5
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作者 Chun Liao Chong Feng +1 位作者 Sen Yang He-Yan Huang 《Journal of Computer Science & Technology》 SCIE EI CSCD 2016年第3期595-603,共9页
Opinion targets extraction of Chinese microblogs plays an important role in opinion mining. There has been a significant progress in this area recently, especially the method based on conditional random field (CRF).... Opinion targets extraction of Chinese microblogs plays an important role in opinion mining. There has been a significant progress in this area recently, especially the method based on conditional random field (CRF). However, this method only takes lexicon-related features into consideration and does not excavate the implied syntactic and semantic knowledge. We propose a novel approach which incorporates domain lexicon with groups of syntactical and semantic features. The approach acquires domain lexicon through a novel way which explores syntactic and semantic information through Part- of-Speech, dependency structure, phrase structure, semantic role and semantic similarity based on word embedding. And then we combine the domain lexicon with opinion targets extracted from CRF with groups of features for opinion targets extraction. Experimental results on COAE2014 dataset show the outperformance of the approach compared with other well-known methods on the task of opinion targets extraction. 展开更多
关键词 domain lexicon opinion targets extraction syntactic structure semantic role word embedding
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