CFILT-CORE: Semantic Textual Similarity using Universal Networking Language

Journal
SEM 2013 - 2nd Joint Conference on Lexical and Computational Semantics, Proceedings of the Main Conference and the Shared Task: Semantic Textual SimilaritySEM 2013 - 2nd Joint Conference on Lexical and Computational Semantics, Proceedings of the Main Conference and the Shared Task: Semantic Textual Similarity
Date Issued
2013-01-01
Author(s)
Dan, Avishek
Bhattacharyya, Pushpak
Abstract
This paper describes the system that was submitted in the ∗SEM 2013 Semantic Textual Similarity shared task. The task aims to find the similarity score between a pair of sentences. We describe a Universal Networking Language (UNL) based semantic extraction system for measuring the semantic similarity. Our approach combines syntactic and word level similarity measures along with the UNL based semantic similarity measures for finding similarity scores between sentences.