A Joint Syntactic-Semantic Representation for Recognizing Textual Relatedness.
Rui Wang, Yi Zhang, Günter Neumann · 2009
This paper describes our participation in the Recognizing Textual Entailment challenge (RTE-5) in the Text Analysis Conference (TAC 2009). Following the two-stage binary classification strategy, our focus this year is to recognize related Text-Hypothesis pairs instead of entailment pairs. In particular, we propose a joint syntactic-semantic representation to better capture the key information shared by the pair, and also apply a co-reference resolver to group cross-sentential mentionings of the same entities together. For the evaluation, we achieve 63.7% of accuracy on the three-way test, 68.5 % on the entailment vs. non-entailment test, and 74.3 % on the relatedness recognition. Based on the error analysis, we will work on differentiating entailment and contradiction in the future. 1