Unrestricted Coreference: Identifying Entities and Events in OntoNotes

Most research in the field of anaphora or coreference detection has been limited to noun phrase coreference, usually on a restricted set of entities, such as ACE entities. In part, this has been due to the lack of corpus resources tagged with general anaphoric coreference. The OntoNotes project is creating a large-scale, accurate corpus for general anaphoric coreference that covers entities and events not limited to noun phrases or a limited set of entity types. The coreference layer in OntoNotes constitutes one part of a multi-layer, integrated annotation of shallow semantic structure in text. This paper presents an initial model for unrestricted coreference based on this data that uses a machine learning architecture with state-of-the-art features. Significant improvements can be expected from using such cross-layer information for training predictive models. This paper describes the coreference annotation in OntoNotes, presents the baseline model, and provides an analysis of the ...

• Type: Conference
• Year: 2007
• Where: SEMCO
• Authors: Sameer S. Pradhan, Lance A. Ramshaw, Ralph M. Weischedel, Jessica MacBride, Linnea Micciulla
• Keywords: ACE Entities, General Anaphoric Coreference, Noun Phrases, Semantic Computing, SEMCO 2007