About cookies on this site Our websites require some cookies to function properly (required). In addition, other cookies may be used with your consent to analyze site usage, improve the user experience and for advertising. For more information, please review your options. By visiting our website, you agree to our processing of information as described in IBM’sprivacy statement. To provide a smooth navigation, your cookie preferences will be shared across the IBM web domains listed here.
Conference paper
Is hillary rodham clinton the president? Disambiguating names across documents
Abstract
A number of research and software development groups have developed name identification technology, but few have addressed the issue of cross-document coreference, or identifying the same named entities across documents. In a collection of documents, where there are multiple discourse contexts, there exists a many-to-many correspondence between names and entities, making it a challenge to automatically map them correctly. Recently, Bagga and Baldwin proposed a method for determining whether two names refer to the same entity by measuring the similarity between the document contexts in which they appear. Inspired by their approach, we have revisited our current cross-document coreference heuristics that make relatively simple decisions based on matching strings and entity types. We have devised an improved and promising algorithm, which we discuss in this paper.