Answer Passage Retrieval for Question Answering
نویسندگان
چکیده
Document or passage retrieval is typically used as the first step in current question answering systems. The accuracy of the answer that is extracted from the passages and the efficiency of the question answering process will depend to some extent on the quality of this initial ranking. We show how language model approaches can be used to improve answer passage ranking. In particular, we show how a variety of prior language models trained on correct answer text allow us to incorporate into the retrieval step information that is often used in answer extraction, for example, the presence of tagged entities. We demonstrate the effectiveness of these models on the TREC9 QA Corpus.
منابع مشابه
Boosting Passage Retrieval through Reuse in Question Answering
Question Answering (QA) is an emerging important field in Information Retrieval. In a QA system the archive of previous questions asked from the system makes a collection full of useful factual nuggets. This paper makes an initial attempt to investigate the reuse of facts contained in the archive of previous questions to help and gain performance in answering future related factoid questions. I...
متن کاملارایه یک پیکره پرسش و پاسخ مذهبی در زبان فارسی
Question answering system is a field in natural language processing and information retrieval noticed by researchers in these decades. Due to a growing interest in this field of research, the need to have appropriate data sources is perceived. Most researches about developing question answering corpus area have been done in English so far, but in other languages as Persian, the lack of these co...
متن کاملSimple Translation Models for Sentence Retrieval in Factoid Question Answering
Many question-answering systems start with a passage retrieval system to facilitate the answer extraction process. The richer the set of passages, in terms of answer content, the more accurate the answer extraction. We present a simple translation model for passage retrieval at the sentence level. We demonstrate this framework on TREC data, and show that it performs better than retrieval based ...
متن کاملComponent Analysis of a Chinese Factoid Question-Answering System
An analysis is provided for three major components of a simple Chinese Question-Answering system: passage retrieval, entity extraction and candidate selection. The order of least effective component is determined to be: answer selection, retrieval and extraction. In crosslingual QA, deficiencies in question translation not only lead to retrieval loss, but may also have adverse effects at answer...
متن کاملThe Answer is at your Fingertips: Improving Passage Retrieval for Web Question Answering with Search Behavior Data
Passage retrieval is a crucial first step of automatic Question Answering (QA). While existing passage retrieval algorithms are effective at selecting document passages most similar to the question, or those that contain the expected answer types, they do not take into account which parts of the document the searchers actually found useful. We propose, to the best of our knowledge, the first su...
متن کامل