2009Dianzi xuebaoRequires access

Advances in Open-Domain Question Answering

Sheng Li

Open publisher page 3 citations

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.

About this research paper

What this paper is about

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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OpenAlex reports 3 citations for this work. Citation counts describe recorded attention and do not establish research quality.

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Available 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.

Key concepts: Question answering, Open domain, Computer science, Information retrieval, Closed-ended question, Domain (mathematical analysis), Open research, Data science

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Advances in Open-Domain Question Answering — Research Paper | ScholarLens