dc.contributor.author | Bao, J. | |
dc.contributor.author | Lyon, C. | |
dc.contributor.author | Lane, P.C.R. | |
dc.date.accessioned | 2010-10-25T08:50:49Z | |
dc.date.available | 2010-10-25T08:50:49Z | |
dc.date.issued | 2007 | |
dc.identifier.citation | Bao , J , Lyon , C & Lane , P C R 2007 , ' A text annotation method based on semantic sequences ' , Proceedings of the Seventh International Workshop on Computational Semantics . | |
dc.identifier.other | dspace: 2299/4911 | |
dc.identifier.uri | http://hdl.handle.net/2299/4911 | |
dc.description.abstract | This paper presents a text annotation method based on semantic sequences to label a document and a cluster of documents. The basic idea underlying the semantic sequence approach is to find locally frequent meanings to act as the labels of a document, using an ontology such as WordNet. The ontology is also used to measure the semantic similarity of labels that indicate similarity between documents. Further, a text clustering method based upon four natural rules is introduced to cluster documents and label each cluster. This method does not need any pre-defined number of clusters, which is necessary for the partitioning clustering method, and avoids the need to set appropriate levels as in the hierarachical clustering method. | en |
dc.format.extent | 69608 | |
dc.language.iso | eng | |
dc.relation.ispartof | Proceedings of the Seventh International Workshop on Computational Semantics | |
dc.subject | semantic sequences | |
dc.subject | text annotation | |
dc.subject | WordNet | |
dc.subject | clustering | |
dc.title | A text annotation method based on semantic sequences | en |
dc.contributor.institution | School of Computer Science | |
dc.contributor.institution | Science & Technology Research Institute | |
dc.description.status | Peer reviewed | |
rioxxterms.type | Journal Article/Review | |
herts.preservation.rarelyaccessed | true | |