DocumentCode
2079232
Title
Word alignment based recognizing textural entailment
Author
Zhang, Xinhua ; Wang, Yinglin ; Li, Peng
Author_Institution
Dept. of Comput. Sci. & Eng., Shanghai Jiao-Tong Univ., Shanghai, China
Volume
1
fYear
2010
fDate
10-12 Dec. 2010
Firstpage
352
Lastpage
355
Abstract
In this paper we focus on finding a best semantic alignment between two sentences. We model it as a bipartite weighted matching, and it can be solved in polynomial time by using combinational optimization method. Base on this alignment we integrated several methods to perform recognizing textural entailment (RTE). Finally, we implement our method on to RTE1 Test Data. The result shows that word alignment based RTE has a good performance.
Keywords
combinatorial mathematics; optimisation; pattern recognition; word processing; bipartite weighted matching; combinational optimization method; textural entailment recognition; word alignment; Accuracy; Electronic publishing; Information services; Internet; RTE; structure prediction; word alignment;
fLanguage
English
Publisher
ieee
Conference_Titel
Progress in Informatics and Computing (PIC), 2010 IEEE International Conference on
Conference_Location
Shanghai
Print_ISBN
978-1-4244-6788-4
Type
conf
DOI
10.1109/PIC.2010.5687955
Filename
5687955
Link To Document