Paper: DIT: Summarisation and Semantic Expansion in Evaluating Semantic Similarity

ACL ID S14-2037
Title DIT: Summarisation and Semantic Expansion in Evaluating Semantic Similarity
Venue Joint Conference on Lexical and Computational Semantics
Session
Year 2014
Authors

This paper describes an approach to im- plementing a tool for evaluating seman- tic similarity. We investigated the poten- tial benefits of (1) using text summarisa- tion to narrow down the comparison to the most important concepts in both texts, and (2) leveraging WordNet information to in- crease usefulness of cosine comparisons of short texts. In our experiments, text summarisation using a graph-based algo- rithm did not prove to be helpful. Se- mantic and lexical expansion based upon word relationships defined in WordNet in- creased the agreement of cosine similarity values with human similarity judgements.