Disambiguating conjunctions in named entities

Robert Dale, Pawel Mazur

Research output: Chapter in Book/Report/Conference proceedingConference proceeding contributionpeer-review


The recognition of named entities is now a well developed area, with a range of symbolic and machine learning techniques that deliver high accuracy identification and categorisation of a variety of entity types. However, there are
still some named entity phenomena that present problems for existing techniques; in particular, relatively little work has explored the disambiguation
of conjunctions appearing in candidate named entity strings. We demonstrate
that there are in fact four distinct uses of conjunctions in the context of named entities; we present the results of some experiments using machine-learned classifiers to disambiguate the different uses of the conjunction, with 81.73% of
test examples being correctly classified. We provide some discussion and analysis of the problem of conjunction in named entities, and we show that there are some cases which are ambiguous even for humans.
Original languageEnglish
Title of host publicationProceedings of the Australasian Language Technology Workshop 2005
EditorsMenno van Zaanen, Timothy Baldwin, James Curran
Place of PublicationAustralia
PublisherAustralasian Language Technology Association
Number of pages8
ISBN (Print)097516872X
Publication statusPublished - 2005
EventAustralasian Language Technology Association Workshop - Sydney
Duration: 11 Dec 200512 Dec 2005


WorkshopAustralasian Language Technology Association Workshop


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