Paper: KnCe2013-CORE:Semantic Text Similarity by use of Knowledge Bases

ACL ID S13-1019
Title KnCe2013-CORE:Semantic Text Similarity by use of Knowledge Bases
Venue Joint Conference on Lexical and Computational Semantics
Session
Year 2013
Authors

In this paper we describe KnCe2013-CORE, a system to compute the semantic similarity of two short text snippets. The system com- putes a number of features which are gath- ered from different knowledge bases, namely WordNet, Wikipedia and Wiktionary. The similarity scores derived from these features are then fed into several multilayer perceptron neuronal networks. Depending on the size of the text snippets different parameters for the neural networks are used. The final out- put of the neural networks is compared to hu- man judged data. In the evaluation our system performed sufficiently well for text snippets of equal length, but the performance dropped considerably once the pairs of text snippets differ in size.