G. Boleda, S. Padó, and J. Utt. Proceedings of *SEM, page 151--160. Montréal, Canada, (2012)
Abstract
Many types of polysemy are not word specific, but are instances of general sense alternations such as Animal-Food. Despite their pervasiveness, regular alternations have been mostly ignored in empirical computational semantics. This paper presents (a) a general framework which grounds sense alternations in corpus data, generalizes them above individual words, and allows the prediction of alternations for new words; and (b) a concrete unsupervised implementation of the framework, the Centroid Attribute Model. We evaluate this model against a set of 2,400 ambiguous words and demonstrate that it outperforms two baselines.
%0 Conference Paper
%1 boleda12:regular
%A Boleda, Gemma
%A Padó, Sebastian
%A Utt, Jason
%B Proceedings of *SEM
%C Montréal, Canada
%D 2012
%K conference myown
%P 151--160
%T Regular polysemy: A distributional model
%U http://www.aclweb.org/anthology/S12-1023.pdf
%X Many types of polysemy are not word specific, but are instances of general sense alternations such as Animal-Food. Despite their pervasiveness, regular alternations have been mostly ignored in empirical computational semantics. This paper presents (a) a general framework which grounds sense alternations in corpus data, generalizes them above individual words, and allows the prediction of alternations for new words; and (b) a concrete unsupervised implementation of the framework, the Centroid Attribute Model. We evaluate this model against a set of 2,400 ambiguous words and demonstrate that it outperforms two baselines.
@inproceedings{boleda12:regular,
abstract = {Many types of polysemy are not word specific, but are instances of general sense alternations such as Animal-Food. Despite their pervasiveness, regular alternations have been mostly ignored in empirical computational semantics. This paper presents (a) a general framework which grounds sense alternations in corpus data, generalizes them above individual words, and allows the prediction of alternations for new words; and (b) a concrete unsupervised implementation of the framework, the Centroid Attribute Model. We evaluate this model against a set of 2,400 ambiguous words and demonstrate that it outperforms two baselines.},
added-at = {2017-04-03T19:28:28.000+0200},
address = {Montr\'{e}al, Canada},
author = {Boleda, Gemma and Pad{\'o}, Sebastian and Utt, Jason},
biburl = {https://puma.ub.uni-stuttgart.de/bibtex/29448bfcc019c2c122bc3b54a36ff87e9/sp},
booktitle = {Proceedings of {*}SEM},
interhash = {bd69f563668c68844bd298d33f3dfbcd},
intrahash = {9448bfcc019c2c122bc3b54a36ff87e9},
keywords = {conference myown},
pages = {151--160},
timestamp = {2017-04-03T17:28:32.000+0200},
title = {Regular polysemy: A distributional model},
url = {http://www.aclweb.org/anthology/S12-1023.pdf},
year = 2012
}
