SRIUBC: Simple Similarity Features for Semantic Textual Similarity

Abstract

We describe the systems submitted by SRI International and the University of the Basque Country for the Semantic Textual Similarity (STS) SemEval-2012 task. Our systems focused on using a simple set of features, featuring a mix of semantic similarity resources, lexical match heuristics, and part of speech (POS) information. We also incorporate precision… (More)

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Cite this paper

@inproceedings{Yeh2012SRIUBCSS, title={SRIUBC: Simple Similarity Features for Semantic Textual Similarity}, author={Eric Yeh and Eneko Agirre}, booktitle={SemEval@NAACL-HLT}, year={2012} }