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

Abstract

This paper provides system description of the cross-level semantic similarity task for the SEMEVAL-2014 workshop. Cross-level semantic similarity measures the degree of relatedness between texts of varying lengths such as Paragraph to Sentence and Sentence to Phrase. Latent Semantic 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.