@inproceedings{oliveira-etal-2014-exploiting,
title = "Exploiting {P}ortuguese Lexical Knowledge Bases for Answering Open Domain Cloze Questions Automatically",
author = "Oliveira, Hugo Gon{\c{c}}alo and
Coelho, In{\^e}s and
Gomes, Paulo",
editor = "Calzolari, Nicoletta and
Choukri, Khalid and
Declerck, Thierry and
Loftsson, Hrafn and
Maegaard, Bente and
Mariani, Joseph and
Moreno, Asuncion and
Odijk, Jan and
Piperidis, Stelios",
booktitle = "Proceedings of the Ninth International Conference on Language Resources and Evaluation ({LREC}'14)",
month = may,
year = "2014",
address = "Reykjavik, Iceland",
publisher = "European Language Resources Association (ELRA)",
url = "http://www.lrec-conf.org/proceedings/lrec2014/pdf/46_Paper.pdf",
pages = "4202--4209",
abstract = "We present the task of answering cloze questions automatically and how it can be tackled by exploiting lexical knowledge bases (LKBs). This task was performed in what can be seen as an indirect evaluation of Portuguese LKB. We introduce the LKBs used and the algorithms applied, and then report on the obtained results and draw some conclusions: LKBs are definitely useful resources for this challenging task, and exploiting them, especially with PageRanking-based algorithms, clearly improves the baselines. Moreover, larger LKB, created automatically and not sense-aware led to the best results, as opposed to handcrafted LKB structured on synsets.",
}
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%0 Conference Proceedings
%T Exploiting Portuguese Lexical Knowledge Bases for Answering Open Domain Cloze Questions Automatically
%A Oliveira, Hugo Gonçalo
%A Coelho, Inês
%A Gomes, Paulo
%Y Calzolari, Nicoletta
%Y Choukri, Khalid
%Y Declerck, Thierry
%Y Loftsson, Hrafn
%Y Maegaard, Bente
%Y Mariani, Joseph
%Y Moreno, Asuncion
%Y Odijk, Jan
%Y Piperidis, Stelios
%S Proceedings of the Ninth International Conference on Language Resources and Evaluation (LREC’14)
%D 2014
%8 May
%I European Language Resources Association (ELRA)
%C Reykjavik, Iceland
%F oliveira-etal-2014-exploiting
%X We present the task of answering cloze questions automatically and how it can be tackled by exploiting lexical knowledge bases (LKBs). This task was performed in what can be seen as an indirect evaluation of Portuguese LKB. We introduce the LKBs used and the algorithms applied, and then report on the obtained results and draw some conclusions: LKBs are definitely useful resources for this challenging task, and exploiting them, especially with PageRanking-based algorithms, clearly improves the baselines. Moreover, larger LKB, created automatically and not sense-aware led to the best results, as opposed to handcrafted LKB structured on synsets.
%U http://www.lrec-conf.org/proceedings/lrec2014/pdf/46_Paper.pdf
%P 4202-4209
Markdown (Informal)
[Exploiting Portuguese Lexical Knowledge Bases for Answering Open Domain Cloze Questions Automatically](http://www.lrec-conf.org/proceedings/lrec2014/pdf/46_Paper.pdf) (Oliveira et al., LREC 2014)
ACL