Paper: TCDSCSS: Dimensionality Reduction to Evaluate Texts of Varying Lengths - an IR Approach

ACL ID S14-2109
Title TCDSCSS: Dimensionality Reduction to Evaluate Texts of Varying Lengths - an IR Approach
Venue Joint Conference on Lexical and Computational Semantics
Session
Year 2014
Authors

This paper provides system description of the cross-level semantic similarity task for the SEMEVAL-2014 workshop. Cross- level semantic similarity measures the de- gree of relatedness between texts of vary- ing lengths such as Paragraph to Sen- tence and Sentence to Phrase. Latent Se- mantic Analysis was used to evaluate the cross-level semantic relatedness between the texts to achieve above baseline scores, tested on the training and test datasets. We also tried using a bag-of-vectors approach to evaluate the semantic relatedness. This bag-of-vectors approach however did not produced encouraging results.