1998 EntitybasedCrossDocumentCorefer
- (Bagga et al., 1998) ⇒ Amit Bagga, and Breck Baldwin. (1998). “Entity-based Cross-document Coreferencing Using the Vector Space Model.” In: Proceedings of the 36th Annual Meeting of the Association for Computational Linguistics and 17th International Conference on Computational Linguistics - Volume 1.
Subject Headings: Multi-Document Coreference Chain.
Notes
Cited By
- ~281 http://scholar.google.com/scholar?q=%22Entity-based+cross-document+coreferencing+using+the+Vector+Space+Model%22+1998
- http://dl.acm.org/citation.cfm?doid=&preflayout=flat#citedby
Quotes
Author Keywords
Abstract
Cross-document coreference occurs when the same person, place, event, or concept is discussed in more than one text source. Computer recognition of this phenomenon is important because it helps break "the document boundary" by allowing a user to examine information about a particular entity from multiple text sources at the same time. In this paper we describe a cross-document coreference resolution algorithm which uses the Vector Space Model to resolve ambiguities between people having the same name. In addition, we also describe a scoring algorithm for evaluating the cross-document coreference chains produced by our system and we compare our algorithm to the scoring algorithm used in the MUC-6 (within document) coreference task.
References
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| Author | volume | Date Value | title | type | journal | titleUrl | doi | note | year | |
|---|---|---|---|---|---|---|---|---|---|---|
| 1998 EntitybasedCrossDocumentCorefer | Amit Bagga Breck Baldwin | Entity-based Cross-document Coreferencing Using the Vector Space Model | 1998 |