Using Syntactic-Based Kernels for Classifying Temporal Relations  

作　　者：Seyed Abolghasem Mirroshandel Gholamreza Ghassem-Sani Mahdy Khayyamian 

机构地区：[1]Department of Computer Engineering,Sharif University of Technology

出　　处：《Journal of Computer Science & Technology》2011年第1期68-80,共13页计算机科学技术学报（英文版）

摘　　要：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 information retrieval. In this paper, we propose an improved algorithm for classifying temporal relations, between events or between events and time, using support vector machines （SVM）. Along with gold-standard corpus features, the proposed method aims at exploiting some useful automatically generated syntactic features to improve the accuracy of classification. Accordingly, a number of novel kernel functions are introduced and evaluated. Our evaluations clearly demonstrate that adding syntactic features results in a considerable improvement over the state-of-the-art method of classifying temporal relations.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 information retrieval. In this paper, we propose an improved algorithm for classifying temporal relations, between events or between events and time, using support vector machines （SVM）. Along with gold-standard corpus features, the proposed method aims at exploiting some useful automatically generated syntactic features to improve the accuracy of classification. Accordingly, a number of novel kernel functions are introduced and evaluated. Our evaluations clearly demonstrate that adding syntactic features results in a considerable improvement over the state-of-the-art method of classifying temporal relations.

关 键 词：temporal relation classification information retrieval text mining support vector machines kernel function 

分 类 号：TP391.1[自动化与计算机技术—计算机应用技术]