Exploiting Portuguese Lexical Knowledge Bases for Answering Open Domain Cloze Questions Automatically

Hugo Gonçalo Oliveira, Inês Coelho, Paulo Gomes


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.
Anthology ID:
L14-1389
Volume:
Proceedings of the Ninth International Conference on Language Resources and Evaluation (LREC'14)
Month:
May
Year:
2014
Address:
Reykjavik, Iceland
Editors:
Nicoletta Calzolari, Khalid Choukri, Thierry Declerck, Hrafn Loftsson, Bente Maegaard, Joseph Mariani, Asuncion Moreno, Jan Odijk, Stelios Piperidis
Venue:
LREC
SIG:
Publisher:
European Language Resources Association (ELRA)
Note:
Pages:
4202–4209
Language:
URL:
http://www.lrec-conf.org/proceedings/lrec2014/pdf/46_Paper.pdf
DOI:
Bibkey:
Cite (ACL):
Hugo Gonçalo Oliveira, Inês Coelho, and Paulo Gomes. 2014. Exploiting Portuguese Lexical Knowledge Bases for Answering Open Domain Cloze Questions Automatically. In Proceedings of the Ninth International Conference on Language Resources and Evaluation (LREC'14), pages 4202–4209, Reykjavik, Iceland. European Language Resources Association (ELRA).
Cite (Informal):
Exploiting Portuguese Lexical Knowledge Bases for Answering Open Domain Cloze Questions Automatically (Oliveira et al., LREC 2014)
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PDF:
http://www.lrec-conf.org/proceedings/lrec2014/pdf/46_Paper.pdf