Paper: HENRY-CORE: Domain Adaptation and Stacking for Text Similarity

ACL ID S13-1013
Title HENRY-CORE: Domain Adaptation and Stacking for Text Similarity
Venue Joint Conference on Lexical and Computational Semantics
Session
Year 2013
Authors

This paper describes a system for automat- ically measuring the semantic similarity be- tween two texts, which was the aim of the 2013 Semantic Textual Similarity (STS) task (Agirre et al., 2013). For the 2012 STS task, Heilman and Madnani (2012) submitted the PERP system, which performed competitively in relation to other submissions. However, approaches including word and n-gram fea- tures also performed well (Ba?r et al., 2012; S?aric? et al., 2012), and the 2013 STS task fo- cused more on predicting similarity for text pairs from new domains. Therefore, for the three variations of our system that we were al- lowed to submit, we used stacking (Wolpert, 1992) to combine PERP with word and n- gram features and applied the domain adapta- tion approach outlined by Daume III (2007) to facili...