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Hits 1 – 3 of 3
1
Using unmarked contexts in nominal lexical semantic classification
Romeo, Lauren
;
Mendes, Sara
;
Bel, Núria
. - : Dublin City University and Association for Computational Linguistics, 2018
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2
A cascade approach to complex-type classification
Bel, Núria
;
Romeo, Lauren
;
Mendes, Sara
. - : European Language Resources Association, 2018
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3
Using qualia information to identify lexical semantic classes in an unsupervised clustering task ...
Romeo, Lauren
;
Mendes, Sara
;
Bel, Núria
. - : arXiv, 2013
Abstract:
Acquiring lexical information is a complex problem, typically approached by relying on a number of contexts to contribute information for classification. One of the first issues to address in this domain is the determination of such contexts. The work presented here proposes the use of automatically obtained FORMAL role descriptors as features used to draw nouns from the same lexical semantic class together in an unsupervised clustering task. We have dealt with three lexical semantic classes (HUMAN, LOCATION and EVENT) in English. The results obtained show that it is possible to discriminate between elements from different lexical semantic classes using only FORMAL role information, hence validating our initial hypothesis. Also, iterating our method accurately accounts for fine-grained distinctions within lexical classes, namely distinctions involving ambiguous expressions. Moreover, a filtering and bootstrapping strategy employed in extracting FORMAL role descriptors proved to minimize effects of sparse ... : 10 pages, 5 tables. Also available in UPF institutional repository (http://hdl.handle.net/10230/20383) ...
Keyword:
Computation and Language cs.CL
;
FOS Computer and information sciences
URL:
https://dx.doi.org/10.48550/arxiv.1303.2449
https://arxiv.org/abs/1303.2449
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