Using Recognizing Textual Entailment as a Core Engine for Answer Validation

This paper is about our approach to answer validation, which centered by a Recognizing Textual Entailment (RTE) core engine. We first combined the question and the answer into Hypothesis (H) and view the document as Text (T); then, we used our RTE system to check whether the entailment relation holds between them. Our system was evaluated on the Answer Validation Exercise (AVE) task and achieved f-measures of 0.46 and 0.55 for two submission runs, which both outperformed others’ results for the English language.

• Type: Conference
• Year: 2007
• Where: CLEF
• Authors: Rui Wang, Günter Neumann
• Keywords: Answer Validation, Answer Validation Exercise, CLEF 2007, Information Retrieval, Textual Entailment