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ACM Computing Surveys (CSUR)
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COLING-ACL '06 Proceedings of the COLING/ACL on Interactive presentation sessions
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ACM Transactions on Knowledge Discovery from Data (TKDD)
Expert Systems with Applications: An International Journal
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AAAI'06 Proceedings of the 21st national conference on Artificial intelligence - Volume 1
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CrossParser '08 Coling 2008: Proceedings of the workshop on Cross-Framework and Cross-Domain Parser Evaluation
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NAACL '09 Proceedings of Human Language Technologies: The 2009 Annual Conference of the North American Chapter of the Association for Computational Linguistics
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SyMSS: A syntax-based measure for short-text semantic similarity
Data & Knowledge Engineering
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ACM Transactions on Intelligent Systems and Technology (TIST)
SemEval-2012 task 6: a pilot on semantic textual similarity
SemEval '12 Proceedings of the First Joint Conference on Lexical and Computational Semantics - Volume 1: Proceedings of the main conference and the shared task, and Volume 2: Proceedings of the Sixth International Workshop on Semantic Evaluation
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CICLing'13 Proceedings of the 14th international conference on Computational Linguistics and Intelligent Text Processing - Volume Part I
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ACM Transactions on Speech and Language Processing (TSLP)
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Proceedings of the 7th ACM international conference on Web search and data mining
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This paper describes the two systems for determining the semantic similarity of short texts submitted to the SemEval 2012 Task 6. Most of the research on semantic similarity of textual content focuses on large documents. However, a fair amount of information is condensed into short text snippets such as social media posts, image captions, and scientific abstracts. We predict the human ratings of sentence similarity using a support vector regression model with multiple features measuring word-overlap similarity and syntax similarity. Out of 89 systems submitted, our two systems ranked in the top 5, for the three overall evaluation metrics used (overall Pearson -- 2nd and 3rd, normalized Pearson -- 1st and 3rd, weighted mean -- 2nd and 5th).