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Neural Attentional Relation Extraction with Dual Dependency Trees被引量：1
《Journal of Computer Science & Technology》2022年第6期1369-1381,共13页Dong Li Zhi-Lei Lei Bao-Yan Song Wan-Ting Ji Yue Kou 
the National Science and Technology Major Project of the Ministry of Science and Technology of China(Secret 501).
Relation extraction has been widely used to find semantic relations between entities from plain text.Dependency trees provide deeper semantic information for relation extraction.However,existing dependency tree based ...
关键词：relation extraction graph convolutional network(GCN) syntactic dependency tree semantic dependency tree 
Using Syntactic-Based Kernels for Classifying Temporal Relations被引量：1
《Journal of Computer Science & Technology》2011年第1期68-80,共13页Seyed Abolghasem Mirroshandel Gholamreza Ghassem-Sani Mahdy Khayyamian 
Temporal relation classification is one of contemporary demanding tasks of natural language processing. This task can be used in various applications such as question answering, summarization, and language specific in...
关键词：temporal relation classification information retrieval text mining support vector machines kernel function 
A Syntactic Proofof the Conservativity of λ_ω over λ_2
《Journal of Computer Science & Technology》1999年第2期129-134,共6页宋方敏 钱悦晨 
In this paper, the relationship between the second order typed - calculus 2 and its higher order version is discussed . A purely syntactic proof of the conservativity of over 2 is given.
关键词：CALCULUS second order typed  -calculus 
Weak Precedence Story Parsing Grammar
《Journal of Computer Science & Technology》1995年第1期53-64,共12页张松懋 
Story understanding is one of the important branches of natural languageunderstanding research in AI techlliques. The story understanding approachbased on Story Parsing Grammar (SPG) involves that SPG is used to rep-r...
关键词：Story understanding high-dimensional grammar context-sensitive grammar weak precedence grammar syntactic parsing algorithm 
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