This paper addresses question analysis in the framework of Question Answering over structured data.The problem is set as a relation extraction task, where all the relations of interest in a given domain have to be extracted from natural language questions. The proposed approach applies the notion of Textual Entailment to compare the input questions with a repository of relational textual patterns. The underlying assumption is that a question expresses a certain relation if a pattern for that relation is entailed by the question.We report on a number of experiments, testing differentsimple distance-based entailment algorithms over a dataset of 1487 English questions covering the domain of cultural events in a town, and 75 relations that are relevant in this domain. The positive results obtained demonstrate the feasibility of the overall approach, and its effectiveness in the proposed QA scenario.

Question Answering over Structured Data: an Entailment-Based Approach to Question Analysis.

Negri, Matteo;Kouylekov, Milen Ognianov
2009

Abstract

This paper addresses question analysis in the framework of Question Answering over structured data.The problem is set as a relation extraction task, where all the relations of interest in a given domain have to be extracted from natural language questions. The proposed approach applies the notion of Textual Entailment to compare the input questions with a repository of relational textual patterns. The underlying assumption is that a question expresses a certain relation if a pattern for that relation is entailed by the question.We report on a number of experiments, testing differentsimple distance-based entailment algorithms over a dataset of 1487 English questions covering the domain of cultural events in a town, and 75 relations that are relevant in this domain. The positive results obtained demonstrate the feasibility of the overall approach, and its effectiveness in the proposed QA scenario.
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11582/5125
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