Answering questions with an n-gram based passage retrieval engine

作者：Buscaldi Davide^*; Rosso Paolo; Manuel Gomez Soriano Jose; Sanchis Emilio

来源：Journal of Intelligent Information Systems, 2010, 34(2): 113-134.

DOI：10.1007/s10844-009-0082-y

• Question answering
• Information retrieval and extraction
• Passage retrieval

In this paper, we present a Question Answering system based on redundancy and a Passage Retrieval method that is specifically oriented to Question Answering. We suppose that in a large enough document collection the answer to a given question may appear in several different forms. Therefore, it is possible to find one or more sentences that contain the answer and that also include tokens from the original question. The Passage Retrieval engine is almost language-independent since it is based on n-gram structures. Question classification and answer extraction modules are based on shallow patterns.

• 出版日期2010-4