JU-CSE-NLP: Multi-grade classification of semantic similarity between text pairs

Snehasis Neogi, Partha Pakray, Sivaji Bandyopadhyay, Alexander Gelbukh

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

1 Scopus citations

Abstract

This article presents the experiments carried out at Jadavpur University as part of the participation in Semantic Textual Similarity (STS) of Task 6 @ Semantic Evaluation Exercises (SemEval-2012). Task-6 of SemEval-2012 focused on semantic relations of text pair. Task-6 provides five different text pair files to compare different semantic relations and judge these relations through a similarity and confidence score. Similarity score is one kind of multi way classification in the form of grade between 0 to 5. We have submitted one run for the STS task. Our system has two basic modules-one deals with lexical relations and another deals with dependency based syntactic relations of the text pair. Similarity score given to a pair is the average of the scores of the above-mentioned modules. The scores from each module are identified using rule based techniques. The Pearson Correlation of our system in the task is 0.3880.

Original languageEnglish
Title of host publicationProceedings of the 6th International Workshop on Semantic Evaluation, SemEval 2012
PublisherAssociation for Computational Linguistics (ACL)
Pages571-574
Number of pages4
ISBN (Electronic)9781937284220
StatePublished - 2012
Event1st Joint Conference on Lexical and Computational Semantics, *SEM 2012 - Montreal, Canada
Duration: 7 Jun 20128 Jun 2012

Publication series

Name*SEM 2012 - 1st Joint Conference on Lexical and Computational Semantics
Volume2

Conference

Conference1st Joint Conference on Lexical and Computational Semantics, *SEM 2012
Country/TerritoryCanada
CityMontreal
Period7/06/128/06/12

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