Restricted-domain chinese automatic question-answering system based on question sentence similarity

Yu, Zhengtao; Fan, Xiaojing; Ji, Peng-Cheng

doi:10.1109/icmlc.2004.1378551

Cited by 1 publication

(2 citation statements)

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“…The unanswered question is then sent back to be answered manually [1] later by an expert. The new question and its answer are then updated in FAQ base [7]. As the unanswered questions could be many, the process will bring burden over the domain expert.…”

Section: Problem Definationmentioning

confidence: 99%

“…The difficulty in extracting answer to conceptual question from document is in figuring out, where in the passage the answer is present and up to how much the answer would be. For answering the reasoning or conceptual questions other approaches are followed, such as use of Frequently Asked Question [FAQ] Base [7], Knowledge Base [1]. FAQ Base is a set of predefined question and answer pair made prior to use.…”

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

A Framework for automatic generation of answers to conceptual questions in Frequently Asked Question (FAQ) based Question Answering System

Pal¹,

Bhattacharya²,

Chakravorty³

2012

IJARAI

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Question Answering System [QAS] generates answer to various questions imposed by users. The QAS uses documents or knowledge base for extracting the answers to factoid questions and conceptual questions. Use of Frequently Asked Question (FAQ) base gives a satisfying results to QAS, but the limitation with FAQ base system is in the preparation of Question and Answer set as most of the questions are not predetermined.QAS using FAQ base fails if no semantically related questions are found in base, corresponding to the input question. This demands an automatic answering system as backup, which generates answer especially to conceptual questions.The work presented here gives a framework for automatic generation of answers to conceptual question especially "what", "why" and "how" type for frequently asked based, Question Answering System and in terms gradually builds up the FAQ base.

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Section: Problem Definationmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%