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dc.contributor.authorHo, H.
dc.contributor.authorMin, K.
dc.contributor.authorYeap, W.
dc.date.accessioned2009-05-27T22:22:16Z
dc.date.available2009-05-27T22:22:16Z
dc.date.copyright2004
dc.date.created2004
dc.date.issued2009-05-27T22:22:16Z
dc.identifier.urihttp://hdl.handle.net/10292/637
dc.description.abstractThis paper describes a knowledge-poor anaphora resolution approach based on a shallow meaning representation of sentences. The structure afforded in such a representation provides immediate identification of local domains which are required for resolving pronominal anaphora. Other kinds of information used include syntactic information, structure parallelism and salience weights. We collected 111 singular 3rd person pronouns from open domain resources such as children's novel and examples from several anaphora resolution papers. There are 111 third-person singular pronouns in the experiment data set and 94 of them demonstrate pronominal anaphora in domain of test data. The system successfully resolves 78.4% of anaphoric examples. © Springer-Verlag Berlin Heidelberg 2004.
dc.publisherSpringer
dc.relation.urihttp://dx.doi.org/10.1007/b99563
dc.rightsThe original publication is available at www.springerlink.com.
dc.sourceLecture Notes in Artificial Intelligence, 3157, 862-871
dc.titlePronominal anaphora resolution using a shallow meaning representation of sentences
dc.typeJournal Article
dc.rights.accessrightsOpenAccess


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