Sequence Validation Based Extraction of Named High Cardinality Entities

来源 :智能科学国际期刊(英文) | 被引量 : 0次 | 上传用户：rain918

【摘要】

：

One of the most useful Information Extraction (IE) solutions to Web information harnessing is Named Entity Recognition (NER). Hand-coded rule methods are still

【作者】

：

Khamisi Kalegele Hideyuki Taka

【机构】

：

GraduateSchoolofInformationSciences,ResearchInstituteofElectricalCommunication

【出处】

：

智能科学国际期刊(英文)

【发表日期】

：

2012年4期

【关键词】

：

ENTITY Recognition Supervised Learning SEQUENCE VALIDATION Intelligent Systems T

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One of the most useful Information Extraction (IE) solutions to Web information harnessing is Named Entity Recognition (NER). Hand-coded rule methods are still the best performers. These methods and statistical methods exploit Natural Language Processing

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Sequence Validation Based Extraction of Named High Cardinality Entities

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