%0 Conference Paper %1 pantel02senses %A Pantel, Patrick %A Lin, Dekang %B Proceedings of the eighth ACM SIGKDD international conference on Knowledge discovery and data mining %D 2002 %K clustering text-mining %P 613-619 %R http://doi.acm.org/10.1145/775047.775138 %T Discovering word senses from text %U http://doi.acm.org/10.1145/775047.775138

@inproceedings{pantel02senses, added-at = {2010-01-19T11:10:21.000+0100}, author = {Pantel, Patrick and Lin, Dekang}, biburl = {https://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 = {2010-01-19T11:10:22.000+0100}, title = {Discovering word senses from text}, url = {http://doi.acm.org/10.1145/775047.775138}, year = 2002 }