Yankoski, Michael
Span-Oriented Information Extraction -- A Unifying Perspective on Information Extraction
Ding, Yifan, Yankoski, Michael, Weninger, Tim
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.