Advances in Open-Domain Question Answering

ZHANG Zhi-chang; ZHANG Yu; LIU Ting; LI Sheng

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Advances in Open-Domain Question Answering

更新时间：2025-07-16

- Advances in Open-Domain Question Answering
- Acta Electronica Sinica Vol. 37, Issue 5, Pages: 1058-1069(2009)
- 作者机构：
  
  1. 哈尔滨工业大学计算机学院信息检索研究室,黑龙江,哈尔滨,150001
  2. 西北师范大学数学与信息科学学院,甘肃,兰州,730070
  3. 哈尔滨工业大学计算机学院信息检索研究室黑龙江哈尔滨,150001
  4. 西北师范大学数学与信息科学学院甘肃兰州,730070
- 作者简介：
- 基金信息：
- DOI：
  CLC： TP391
- Published：2009
- 稿件说明：
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ZHANG Zhi-chang, ZHANG Yu, LIU Ting, et al. Advances in Open-Domain Question Answering[J]. Acta Electronica Sinica, 2009, 37(5): 1058-1069.
DOI：

ZHANG Zhi-chang, ZHANG Yu, LIU Ting, et al. Advances in Open-Domain Question Answering[J]. Acta Electronica Sinica, 2009, 37(5): 1058-1069. DOI：

摘要

问答技术是信息检索和自然语言理解中的研究热点.本文对开放域问答技术在近年来的研究进展进行了总结.针对不同类型的问题

比较了问答系统中问题分析、文档和句段检索、答案抽取各个部分不同实现方法的特点

讨论了这些技术中存在的不足.最后

对问答技术未来的研究趋势进行了分析与展望.

Abstract

Question answering is one of the research hotspots in information retrieval and natural language understanding.This paper summarizes the up-to-date research advances in open-domain question answering

compares the different approaches in question analysis

document and passage retrieval

answer extraction according to different question types.The shortcomings of state-of-art techniques are also discussed

and further research directions for question answering are analyzed and prospected at last.

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Chinese Question Answering Based on Syntax Analysis and Answer Classification

Formalized Answer Extraction Based on Pattern Learning and Confidence Estimation

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Related Institution

Lab of Computational Linguistics,School of Humanities and Social Sciences,Tsinghua University

Institute of Information Science, Beijing Jiaotong University

Center for Psychology and Cognitive Science,Tsinghua University

Lab of Computational LinguisticsSchool of Humanities and Social SciencesTsinghua UniversityBeijing 100084China

Institute of Information ScienceBeijing Jiaotong UniversityBeijing 100044China

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