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dc.contributor.authorNand, P
dc.contributor.authorYeap, W
dc.contributor.editorHota, C
dc.contributor.editorShanthi, V
dc.contributor.editorSanjeevi, S
dc.date.accessioned2012-05-16T21:42:33Z
dc.date.accessioned2012-05-16T21:43:07Z
dc.date.accessioned2012-05-17T03:07:21Z
dc.date.accessioned2012-05-17T03:07:27Z
dc.date.available2012-05-16T21:42:33Z
dc.date.available2012-05-16T21:43:07Z
dc.date.available2012-05-17T03:07:21Z
dc.date.available2012-05-17T03:07:27Z
dc.date.copyright2011-11-24
dc.date.issued2012-05-17
dc.identifier.citationIn proceedings of the 2nd Annual International Conference on Advanced Topics in Artificial Intelligence, Hotel Fort, Canning, Singapore. 24 to 25-11-2011. pp.44 - 49 (6)
dc.identifier.issn2251-2233
dc.identifier.urihttp://hdl.handle.net/10292/4192
dc.description.abstractIn this paper we present a novel way to resolve indirect or bridging anaphora which gives us a richer interpretation then the current frameworks. The new framework uses the core set of relations that have been used to describe compound noun generation. We firstly argue that the linguistic processes of compound noun generation and the use of NP anaphora are based on a common relational framework. In order to validate this theory we used human annotators to interpret indirect anaphora from naturally occurring discourses. The annotators were asked to classify the relation between an anaphor and the antecedent into relation types that have been previously used to describe the relation between the modifier and the head noun of a compound noun. We obtained very encouraging results with a Fleiss's kappa value of 0.66 for inter-annotation agreement. This compares well with other similar annotation experiments for relation interpretation in compound nouns. The annotation results strongly indicate that anaphora and noun compounds are based on very similar relational framework, hence should treated the same.
dc.publisherGlobal science and Technology Forum (GSTF)
dc.relation.replaceshttp://hdl.handle.net/10292/4183
dc.relation.replaces10292/4183
dc.relation.replaceshttp://hdl.handle.net/10292/4184
dc.relation.replaces10292/4184
dc.relation.replaceshttp://hdl.handle.net/10292/4191
dc.relation.replaces10292/4191
dc.relation.urihttp://goo.gl/bh5Qk
dc.rightsCopyright © 1993-2011 by Michael Ley (University of Trier, Informatik, ley@uni-trier.de) and Schloss Dagstuhl - Leibniz-Zentrum für Informatik GmbH. In the eyes of DBLP, a simple note refering to DBLP and/or a link back to DBLP's website is sufficient to meet the attribution criterion. Individual use of only a small number of records (such as a publication list of a few authors or the table of content of a proceedings volume) does not need attribution.
dc.subjectAnaphora resolution; Noun phrase anaphora; Discourse structure; Noun compounds; Noun phrasenaphora resolution; Noun phrase anaphora; Discourse structure; Noun compounds; Noun phrase
dc.titleA relational framework for interpreting anaphora
dc.typeConference Contribution
dc.rights.accessrightsOpenAccess
dark.contributor.authorNand, P
dark.contributor.authorYeap, W
aut.conference.typePaper Published in Proceedings
aut.publication.placeSingapore
aut.relation.endpage49
aut.relation.pages6
aut.relation.startpage44


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