Abstract

A semantic space for question similarity calculation in user-interactive question answering systems is proposed in this paper, which is constructed based on accumulated questions by two steps: entropy based feature weighting and semantic feature clustering. Question similarity is calculated based on the question vectors in the semantic space after mapping questions into the space. Experimental results show that our method outperforms the baseline with TREC-9 test questions.

Paper Details