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Discovering word senses from text

by: Patrick Pantel, and Dekang Lin

In: Proceedings of the eighth ACM SIGKDD international conference on Knowledge discovery and data mining (2002) , p. 613-619.

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URL:	http://doi.acm.org/10.1145/775047.775138
DOI:	10.1145/775047.775138

The clustering is interesting. Once an element E is assigned to a cluster C, the overlapping features from C are subtracted from E, and E is kept in the list of elements to cluster. This lets you find different word-senses (here, in general multi-cluster membership)

BibTeX record

@inproceedings{pantel02senses,
  added-at = {2010-01-19T11:10:21.000+0100},
  author = {Pantel, Patrick and Lin, Dekang},
  biburl = {http://www.bibsonomy.org/bibtex/2732030528993b3de7b96d0ec505e70b3/gromgull},
  booktitle = {Proceedings of the eighth ACM SIGKDD international conference on Knowledge discovery and data mining},
  description = {The clustering is interesting. 
Once an element E is assigned to a cluster C, the overlapping features from C are subtracted from E, and E is kept in the list of elements to cluster. This lets you find different word-senses (here, in general multi-cluster membership)},
  doi = {http://doi.acm.org/10.1145/775047.775138},
  file = {pantel02senses.pdf:papers\\sigkdd\\pantel02senses.pdf:PDF},
  interhash = {057bcfb631417083a7f455ea7ba9d2f8},
  intrahash = {732030528993b3de7b96d0ec505e70b3},
  keywords = {clustering text-mining},
  language = {english},
  pages = {613-619},
  timestamp = {2010-01-19T11:10:21.000+0100},
  title = {Discovering word senses from text},
  url = {http://doi.acm.org/10.1145/775047.775138},
  year = 2002
}

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BibSonomy :: publication ::

Discovering word senses from text

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