Paper: DLS: Sentence Similarity from Word Alignment

ACL ID S14-2039
Title DLS: Sentence Similarity from Word Alignment
Venue Joint Conference on Lexical and Computational Semantics
Session
Year 2014
Authors

We present an algorithm for computing the semantic similarity between two sen- tences. It adopts the hypothesis that se- mantic similarity is a monotonically in- creasing function of the degree to which (1) the two sentences contain similar se- mantic units, and (2) such units occur in similar semantic contexts. With a simplis- tic operationalization of the notion of se- mantic units with individual words, we ex- perimentally show that this hypothesis can lead to state-of-the-art results for sentence- level semantic similarity. At the Sem- Eval 2014 STS task (task 10), our system demonstrated the best performance (mea- sured by correlation with human annota- tions) among 38 system runs.