BDBC-KG-NLP/IE-Survey
北京航空航天大学大数据高精尖中心自然语言处理研究团队对信息抽取领域的调研。包括实体识别，关系抽取，属性抽取等子任务，每类子任务分别对学术界和工业界进行调研。
This survey provides a comprehensive overview of information extraction techniques, helping researchers understand how to automatically categorize, extract, and restructure information from vast amounts of natural language text. It details methods for identifying entities like people or places, extracting relationships between them, and capturing event-specific details. This resource is intended for natural language processing scholars and researchers specializing in information extraction.
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Use this if you are an NLP researcher or scholar looking for an in-depth survey of current academic and industrial approaches to information extraction.
Not ideal if you are looking for a software tool or library to implement information extraction, as this is a research survey.
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Apr 29, 2022
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