Paper: SimCompass: Using Deep Learning Word Embeddings to Assess Cross-level Similarity

ACL ID S14-2098
Title SimCompass: Using Deep Learning Word Embeddings to Assess Cross-level Similarity
Venue Joint Conference on Lexical and Computational Semantics
Session
Year 2014
Authors

This article presents our team?s partici- pating system at SemEval-2014 Task 3. Using a meta-learning framework, we experiment with traditional knowledge- based metrics, as well as novel corpus- based measures based on deep learning paradigms, paired with varying degrees of context expansion. The framework en- abled us to reach the highest overall per- formance among all competing systems.