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Span-Oriented Information Extraction -- A Unifying Perspective on Information Extraction
March 26, 2024, 4:50 a.m. | Yifan Ding, Michael Yankoski, Tim Weninger
cs.CL updates on arXiv.org arxiv.org
Abstract: Information Extraction refers to a collection of tasks within Natural Language Processing (NLP) that identifies sub-sequences within text and their labels. These tasks have been used for many years to link extract relevant information and to link free text to structured data. However, the heterogeneity among information extraction tasks impedes progress in this area. We therefore offer a unifying perspective centered on what we define to be spans in text. We then re-orient these seemingly …
abstract arxiv collection cs.ai cs.cl data extract extraction free however information information extraction labels language language processing natural natural language natural language processing nlp perspective processing structured data tasks text type
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