DocumentCode :
1679798
Title :
Measuring Sentence Similarity from Both the Perspectives of Commonalities and Differences
Author :
ChukFong Ho ; Murad, Masrah Azrifah Azmi ; Doraisamy, Shyamala C. ; Kadir, Rabiah Abdul
Author_Institution :
Dept. of Inf. Syst., Univ. Putra Malaysia, Seri Kembangan, Malaysia
Volume :
1
fYear :
2010
Firstpage :
318
Lastpage :
322
Abstract :
Similarity between two sentences can be determined by either comparing their commonalities or their differences. Commonalities, which reflect similarity judgment, connect the two sentences while differences, which reflect dissimilarity judgment, represent the unique way of self-identification. Although both of them are essential in determining sentence similarity, however, the existing methods only focus on single perspective, mostly the perspective of commonalities. This paper presents a method which calculates the sentence similarity from multiple perspectives by taking both the commonalities and differences into consideration. The experimental result on a standard data set shows that the proposed method outperforms the baseline, which is the existing most outstanding single perspective measure, with statistically significant improvement.
Keywords :
natural language processing; commonality perspective; difference perspective; dissimilarity judgment; sentence similarity measurement; similarity judgment; Correlation; Humans; Knowledge based systems; Machine learning; Semantics; Smoothing methods; Training data; commonality; difference; dissimilarity; knowledge-based; sentence similarity; word similarity;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Tools with Artificial Intelligence (ICTAI), 2010 22nd IEEE International Conference on
Conference_Location :
Arras
ISSN :
1082-3409
Print_ISBN :
978-1-4244-8817-9
Type :
conf
DOI :
10.1109/ICTAI.2010.53
Filename :
5670056
Link To Document :
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