JOURNAL ARTICLE

Parsing Model for Answer Extraction in Chinese Question Answering System

Abstract

This paper presents a novel approach to answer extraction in Chinese question answering (QA) system. An extended lexicalized context-free grammar parser is used for question and answer understanding, the exact answer is extracted with the clue of named entity (NE) and question classification (QC). It shows that the-performance of QA will be greatly improved with more comprehensive language understanding technologies.

Keywords:
Question answering Computer science Parsing Natural language processing Artificial intelligence Grammar Context (archaeology) Information extraction Information retrieval Linguistics

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6
Cited By
0.79
FWCI (Field Weighted Citation Impact)
13
Refs
0.80
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Citation History

Topics

Topic Modeling
Physical Sciences →  Computer Science →  Artificial Intelligence
Service-Oriented Architecture and Web Services
Physical Sciences →  Computer Science →  Information Systems
Natural Language Processing Techniques
Physical Sciences →  Computer Science →  Artificial Intelligence

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