A Detailed Analysis of Core NLP for Information Extraction
作者: Simran KaurRashmi Agarwal
作者单位: 1Department of Cardiology, Tan Tock Seng Hospital
2Faculty of Computer Applications,Manav Rachna International University,Faridabad,India
刊名: International Journal of Machine Learning and Networked Collaborative Engineering, 2018, Vol.01 (01), pp.33-47
来源数据库: CMR Institute of Technology, Hyderabad, India
DOI: 0.30991/IJMLNCE.2017v01i01.005
关键词: BootstrappingLanguageLexiconUnstructuredCorpusDomain
原始语种摘要: The amount of unstructured text present in all electronic media is increasing periodically day after day. In order to extract relevant and succinct information, extraction algorithms are limited to entity relationships. This paper is compendium of different bootstrapping approaches which have their own subtask of extracting dependencies like who did, what, whom, from natural language sentence. This can be extremely helpful in both feature design and error analysis in application of machine learning to natural language processing
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  • bootstrapping 自举电路
  • extracting 选取
  • feature 结构元件
  • subtask 子任务
  • Analysis 分析
  • processing 加工
  • machine 机器
  • language 语言
  • succinct 简明的
  • application 申请