CORE
🇺🇦
make metadata, not war
Services
Services overview
Explore all CORE services
Access to raw data
API
Dataset
FastSync
Content discovery
Recommender
Discovery
OAI identifiers
OAI Resolver
Managing content
Dashboard
Bespoke contracts
Consultancy services
Support us
Support us
Membership
Sponsorship
Community governance
Advisory Board
Board of supporters
Research network
About
About us
Our mission
Team
Blog
FAQs
Contact us
research
数值信息抽取研究概述及应用分析
Authors
李春杰
马建玲
Publication date
1 February 2019
Publisher
'Elsevier BV'
Doi
Cite
Abstract
【目的/意义】面对海量的信息,人们需要更为高效准确的信息获取方式。数值信息抽取的研究使隐含在无序信息载体中的大量有价值数值信息可以得以利用,从而满足科研工作者数据驱动型研究的信息需求。【方法/过程】本文旨在总结和归纳数值信息抽取研究的相关内容,包括数值信息抽取的内涵、数值信息抽取研究概况、面临的困境和制约因素以及应用等。【结果/结论】数值信息抽取仍然面临着巨大的挑战,且现有的数值信息抽取研究较少,对于数值信息的抽取,基于规则和统计学习的方法各有利弊,总体来说,基于规则的抽取方法仍是主流方法。 关键词:数值信息;数值信息抽取;数值信息抽取理论</p
Similar works
Full text
Open in the Core reader
Download PDF
Available Versions
National Science Library,Chinese Academy of Sciences
See this paper in CORE
Go to the repository landing page
Download from data provider
oai:ir.las.ac.cn:12502/10346
Last time updated on 08/05/2019