Open-Domain Question-Answering

IF 8.3 2区计算机科学 Q1 COMPUTER SCIENCE, INFORMATION SYSTEMS

Foundations and Trends in Information Retrieval Pub Date : 2007-08-01 DOI:10.1561/1500000001

J. Prager

引用次数: 94

Abstract

Open-Domain Question Answering is an introduction to the field of Question Answering (QA). It covers the basic principles of QA along with a selection of systems that have exhibited interesting and significant techniques, so it serves more as a tutorial than as an exhaustive survey of the field. Starting with a brief history of the field, it goes on to describe the architecture of a QA system before analysing in detail some of the specific approaches that have been successfully deployed by academia and industry designing and building such systems. Open-Domain Question Answering is both a guide for beginners who are embarking on research in this area, and a useful reference for established researchers and practitioners in this field.

查看原文本刊更多论文

Open-Domain答疑

表现最好的问答(QA)系统有两种类型:一种是年复一年表现良好的、稳定的、完善的、多方面的系统，另一种是采用完全创新的方法而脱颖而出的系统，它的表现几乎超过了其他所有系统。本文将深入研究这两种类型的系统。我们建立了一个“典型的”qa系统，并涵盖了组件模块常用的方法。理解这一点将使任何熟练的系统开发人员能够构建自己的qa系统。幸运的是，开发人员可以免费提供许多组件，使其成为研究生级项目的合理期望。我们还研究了一些表现良好的系统，它们采用了有趣和创新的方法。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

求助全文

约1分钟内获得全文求助全文

来源期刊

Foundations and Trends in Information Retrieval COMPUTER SCIENCE, INFORMATION SYSTEMS-

CiteScore

39.10

自引率

0.00%

发文量

期刊介绍： The surge in research across all domains in the past decade has resulted in a plethora of new publications, causing an exponential growth in published research. Navigating through this extensive literature and staying current has become a time-consuming challenge. While electronic publishing provides instant access to more articles than ever, discerning the essential ones for a comprehensive understanding of any topic remains an issue. To tackle this, Foundations and Trends® in Information Retrieval - FnTIR - addresses the problem by publishing high-quality survey and tutorial monographs in the field. Each issue of Foundations and Trends® in Information Retrieval - FnT IR features a 50-100 page monograph authored by research leaders, covering tutorial subjects, research retrospectives, and survey papers that provide state-of-the-art reviews within the scope of the journal.