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Title:
Part-of-Speech Tagging Using Evolutionary Computation
Publication date:
2014
Citation:
anapaulasilva13
Abstract:
Part-of-speech tagging is a task of considerable importance in the field of natural language processing. Its purpose is to automatically tag the words of a text with labels that designate the appropriate parts-of-speech. The approach proposed in this paper divides the problem into two tasks: a learning task and an optimization task. Algorithms from the field of evolutionary computation were adopted to tackle each of those tasks. We emphasize the use of swarm intelligence, not only for the good results achieved, but also because it is one of the first applications of such algorithms to this problem. This approach was designed with the aim of being easily extended to other natural language processing tasks that share characteristics with the part-of-speech tagging problem. The results obtained in two different English corpora are among the best published.
Book chapter
Authors:
Ana Paula Silva, Arlindo Silva,
Irene Rodrigues
Editors:
German Terrazas
Book title:
Nature Inspired Cooperative Strategies for Optimization (NICSO 2013)
Series:
Studies in Computational Intelligence
Publisher:
Springer
Address:
-
Volume:
512
Pages:
167-178
ISBN:
978-3-319-01691-7
ISSN:
-
Note:
-
Url address:
http://dx.doi.org/10.1007/978-3-319-01692-4_13
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Plain text:
Ana Paula Silva and Arlindo Silva and Irene Rodrigues, Part-of-Speech Tagging Using Evolutionary Computation, in: German Terrazas (eds), Nature Inspired Cooperative Strategies for Optimization (NICSO 2013), Studies in Computational Intelligence, Springer, Vol. 512, ISBN 978-3-319-01691-7, Pag. 167-178, (http://dx.doi.org/10.1007/978-3-319-01692-4_13), 2014.
HTML:
Ana Paula Silva, Arlindo Silva and <a href="/people/members/view.php?code=032b48c4371cf1d1523215c3f02c42de" class="author">Irene Rodrigues</a>, <b>Part-of-Speech Tagging Using Evolutionary Computation</b>, in: German Terrazas (eds), <u>Nature Inspired Cooperative Strategies for Optimization (NICSO 2013)</u>, Studies in Computational Intelligence, <a href="http://www.springer.com" title="Link to external entity..." target="_blank" class="publisher">Springer</a>, Vol. 512, ISBN 978-3-319-01691-7, Pag. 167-178, (<a href="http://dx.doi.org/10.1007/978-3-319-01692-4_13" target="_blank">url</a>), 2014.
BibTeX:
@incollection {anapaulasilva13, author = {Ana Paula Silva and Arlindo Silva and Irene Rodrigues}, editor = {German Terrazas}, title = {Part-of-Speech Tagging Using Evolutionary Computation}, booktitle = {Nature Inspired Cooperative Strategies for Optimization (NICSO 2013)}, series = {Studies in Computational Intelligence}, publisher = {Springer}, volume = {512}, pages = {167-178}, isbn = {978-3-319-01691-7}, url = {http://dx.doi.org/10.1007/978-3-319-01692-4_13}, abstract = {Part-of-speech tagging is a task of considerable importance in the field of natural language processing. Its purpose is to automatically tag the words of a text with labels that designate the appropriate parts-of-speech. The approach proposed in this paper divides the problem into two tasks: a learning task and an optimization task. Algorithms from the field of evolutionary computation were adopted to tackle each of those tasks. We emphasize the use of swarm intelligence, not only for the good results achieved, but also because it is one of the first applications of such algorithms to this problem. This approach was designed with the aim of being easily extended to other natural language processing tasks that share characteristics with the part-of-speech tagging problem. The results obtained in two different English corpora are among the best published.}, year = {2014}, }
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