I. Klapaftis, and S. Manandhar. Proceeding of the 2008 conference on ECAI 2008: 18th European Conference on Artificial Intelligence, page 298--302. Amsterdam, The Netherlands, The Netherlands, IOS Press, (2008)
Abstract
Word Sense Induction (WSI) is the task of identifying the different senses (uses) of a target word in a given text. Traditional graph-based approaches create and then cluster a graph, in which each vertex corresponds to a word that co-occurs with the target word, and edges between vertices are weighted based on the co-occurrence frequency of their associated words. In contrast, in our approach each vertex corresponds to a collocation that co-occurs with the target word, and edges between vertices are weighted based on the co-occurrence frequency of their associated collocations. A smoothing technique is applied to identify more edges between vertices and the resulting graph is then clustered. Our evaluation under the framework of SemEval-2007 WSI task shows the following: (a) our approach produces less sense-conflating clusters than those produced by traditional graph-based approaches, (b) our approach outperforms the existing state-of-the-art results.
%0 Conference Paper
%1 uoy_klapaftis2008
%A Klapaftis, Ioannis P.
%A Manandhar, Suresh
%B Proceeding of the 2008 conference on ECAI 2008: 18th European Conference on Artificial Intelligence
%C Amsterdam, The Netherlands, The Netherlands
%D 2008
%I IOS Press
%K 2008 based clustering graph induction sense uoy word wsi
%P 298--302
%T Word Sense Induction Using Graphs of Collocations
%U http://dl.acm.org/citation.cfm?id=1567281.1567349
%X Word Sense Induction (WSI) is the task of identifying the different senses (uses) of a target word in a given text. Traditional graph-based approaches create and then cluster a graph, in which each vertex corresponds to a word that co-occurs with the target word, and edges between vertices are weighted based on the co-occurrence frequency of their associated words. In contrast, in our approach each vertex corresponds to a collocation that co-occurs with the target word, and edges between vertices are weighted based on the co-occurrence frequency of their associated collocations. A smoothing technique is applied to identify more edges between vertices and the resulting graph is then clustered. Our evaluation under the framework of SemEval-2007 WSI task shows the following: (a) our approach produces less sense-conflating clusters than those produced by traditional graph-based approaches, (b) our approach outperforms the existing state-of-the-art results.
%@ 978-1-58603-891-5
@inproceedings{uoy_klapaftis2008,
abstract = {Word Sense Induction (WSI) is the task of identifying the different senses (uses) of a target word in a given text. Traditional graph-based approaches create and then cluster a graph, in which each vertex corresponds to a word that co-occurs with the target word, and edges between vertices are weighted based on the co-occurrence frequency of their associated words. In contrast, in our approach each vertex corresponds to a collocation that co-occurs with the target word, and edges between vertices are weighted based on the co-occurrence frequency of their associated collocations. A smoothing technique is applied to identify more edges between vertices and the resulting graph is then clustered. Our evaluation under the framework of SemEval-2007 WSI task shows the following: (a) our approach produces less sense-conflating clusters than those produced by traditional graph-based approaches, (b) our approach outperforms the existing state-of-the-art results.},
acmid = {1567349},
added-at = {2011-09-19T03:41:52.000+0200},
address = {Amsterdam, The Netherlands, The Netherlands},
author = {Klapaftis, Ioannis P. and Manandhar, Suresh},
biburl = {https://www.bibsonomy.org/bibtex/2588f862424efa1da32924125aebac03d/jil},
booktitle = {Proceeding of the 2008 conference on ECAI 2008: 18th European Conference on Artificial Intelligence},
interhash = {c858b1a32452a78511df25403cf02f2e},
intrahash = {588f862424efa1da32924125aebac03d},
isbn = {978-1-58603-891-5},
keywords = {2008 based clustering graph induction sense uoy word wsi},
numpages = {5},
pages = {298--302},
publisher = {IOS Press},
timestamp = {2013-11-23T20:11:51.000+0100},
title = {Word Sense Induction Using Graphs of Collocations},
url = {http://dl.acm.org/citation.cfm?id=1567281.1567349},
year = 2008
}