Using Recognizing Textual Entailment as a Core Engine for Answer Validation
作者： Rui Wang , Günter Neumann
DOI: 10.1007/978-3-540-85760-0_50
关键词: Logical consequence 、 English language 、 Core (graph theory) 、 Relation (database) 、 Artificial intelligence 、 Computer science 、 Task (project management) 、 Natural language processing 、 Textual entailment
摘要: 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 into Hypothesis (H) view document as Text (T); then, we used RTE system check whether entailment relation holds between them. Our was evaluated on Answer Validation Exercise (AVE) task achieved f-measures of 0.46 0.55 for two submission runs, both outperformed others' results English language.
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