SemEval-2010 task 14: Word sense induction & disambiguation
S. Manandhar, I. Klapaftis, D. Dligach, и S. Pradhan. Proceedings of the 5th International Workshop on Semantic Evaluation, стр. 63--68. Stroudsburg, PA, USA, Association for Computational Linguistics, (2010)
Аннотация
This paper presents the description and evaluation framework of SemEval-2010 Word Sense Induction & Disambiguation task, as well as the evaluation results of 26 participating systems. In this task, participants were required to induce the senses of 100 target words using a training set, and then disambiguate unseen instances of the same words using the induced senses. Systems' answers were evaluated in: (1) an unsupervised manner by using two clustering evaluation measures, and (2) a supervised manner in a WSD task.
%0 Conference Paper
%1 semeval2010
%A Manandhar, Suresh
%A Klapaftis, Ioannis P.
%A Dligach, Dmitriy
%A Pradhan, Sameer S.
%B Proceedings of the 5th International Workshop on Semantic Evaluation
%C Stroudsburg, PA, USA
%D 2010
%I Association for Computational Linguistics
%K 14 2010 evaluation semeval task wsi
%P 63--68
%T SemEval-2010 task 14: Word sense induction & disambiguation
%U http://dl.acm.org/ft_gateway.cfm?id=1859675&type=pdf&CFID=37434642&CFTOKEN=12674791
%X This paper presents the description and evaluation framework of SemEval-2010 Word Sense Induction & Disambiguation task, as well as the evaluation results of 26 participating systems. In this task, participants were required to induce the senses of 100 target words using a training set, and then disambiguate unseen instances of the same words using the induced senses. Systems' answers were evaluated in: (1) an unsupervised manner by using two clustering evaluation measures, and (2) a supervised manner in a WSD task.
@inproceedings{semeval2010,
abstract = {This paper presents the description and evaluation framework of SemEval-2010 Word Sense Induction & Disambiguation task, as well as the evaluation results of 26 participating systems. In this task, participants were required to induce the senses of 100 target words using a training set, and then disambiguate unseen instances of the same words using the induced senses. Systems' answers were evaluated in: (1) an unsupervised manner by using two clustering evaluation measures, and (2) a supervised manner in a WSD task.},
acmid = {1859675},
added-at = {2011-09-07T13:39:41.000+0200},
address = {Stroudsburg, PA, USA},
author = {Manandhar, Suresh and Klapaftis, Ioannis P. and Dligach, Dmitriy and Pradhan, Sameer S.},
biburl = {https://www.bibsonomy.org/bibtex/289a6ab5a37b4d4e0f3ac8481ca8bcb36/jil},
booktitle = {Proceedings of the 5th International Workshop on Semantic Evaluation},
interhash = {31789f90093833bdf0376fa30931555a},
intrahash = {89a6ab5a37b4d4e0f3ac8481ca8bcb36},
keywords = {14 2010 evaluation semeval task wsi},
location = {Los Angeles, California},
numpages = {6},
pages = {63--68},
publisher = {Association for Computational Linguistics},
series = {SemEval '10},
timestamp = {2013-11-23T20:11:51.000+0100},
title = {SemEval-2010 task 14: Word sense induction \& disambiguation},
url = {http://dl.acm.org/ft_gateway.cfm?id=1859675&type=pdf&CFID=37434642&CFTOKEN=12674791},
year = 2010
}