问答式检索技术及评测研究综述

发布时间：2018-06-25 15:48

本文选题：人工智能 + 自然语言处理　；参考：《中文信息学报》2005年03期

【摘要】：问答式检索系统(简称问答系统)是集自然语言处理技术和信息检索技术于一身的新一代搜索引擎。它的出现旨在提供更有力的信息获取工具,以应对信息爆炸带来的严重挑战。经过这几年的发展,问答系统已经成为自然语言处理领域和信息检索领域的一个重要分支和新兴的研究热点,其“通过系统化、大规模地定量评测推动研究向前发展”的发展轨迹,以及某些成功的启示,如基于字符表层的文本分析技术(模板技术)的有效性,快速、浅层自然语言处理技术的必要性,都极大地推动了自然语言处理研究的发展,促进了NLP研究与应用的紧密结合。回顾问答系统研究的历史,总结问答技术的研究现状,将有助于这方面工作向前发展。
[Abstract]:Question answering system (Q & a system) is a new generation of search engines which are integrated with Natural Language Processing technology and information retrieval technology. Its appearance aims to provide more powerful information acquisition tools to cope with the serious challenge of information explosion. After these years, the question and answer system has become a Natural Language Processing field. An important branch of information retrieval and a new research focus in the field of information retrieval, the development trajectory of "promoting research forward by systematic and large-scale quantitative evaluation", as well as some successful revelations, such as the validity of the text analysis technology based on the character surface (template technology), the necessity of rapid and shallow Natural Language Processing technology. It has greatly promoted the development of Natural Language Processing research and promoted the close combination of the research and application of NLP. The review of the history of question answering system and the summary of the research status of question and answer technology will contribute to the development of this work.
【作者单位】：中国科学院自动化研究所模式识别国家重点实验室中国科学院自动化研究所模式识别国家重点实验室中国科学院自动化研究所模式识别国家重点实验室中国科学院自动化研究所模式识别国家重点实验室
【基金】：国家自然科学基金资助项目 (6 0 372 0 16 ,6 0 2 72 0 4 1) 北京市自然科学基金资助项目 (40 5 2 0 2 7)
【分类号】：TP391.3

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