Ranking paraphrases in context
Stefan Thater, Georgiana Dinu, Manfred Pinkal · 2009
We present a vector space model that supports the computation of appropriate vector representations for words in context, and apply it to a paraphrase ranking task. An evaluation on the SemEval 2007 lexical substitution task data shows promising results: the model significantly outperforms a current state of the art model, and our treatment of context is effective.