Treebanking by Sentence and Tree Transformation: Building a Treebank to support Question Answering in Portuguese

Patrícia Gonçalves, Rita Santos, António Branco


Abstract
This paper presents CINTIL-QATreebank, a treebank composed of Portuguese sentences that can be used to support the development of Question Answering systems. To create this treebank, we use declarative sentences from the pre-existing CINTIL-Treebank and manually transform their syntactic structure into a non-declarative sentence. Our corpus includes two clause types: interrogative and imperative clauses. CINTIL-QATreebank can be used in language science and techology general research, but it was developed particularly for the development of automatic Question Answering systems. The non-declarative entences are annotated with several layers of linguistic information, namely (i) trees with information on constituency and grammatical function; (ii) sentence type; (iii) interrogative pronoun; (iv) question type; and (v) semantic type of expected answer. Moreover, these non-declarative sentences are paired with their declarative counterparts and associated with the expected answer snippets.
Anthology ID:
L12-1244
Volume:
Proceedings of the Eighth International Conference on Language Resources and Evaluation (LREC'12)
Month:
May
Year:
2012
Address:
Istanbul, Turkey
Editors:
Nicoletta Calzolari, Khalid Choukri, Thierry Declerck, Mehmet Uğur Doğan, Bente Maegaard, Joseph Mariani, Asuncion Moreno, Jan Odijk, Stelios Piperidis
Venue:
LREC
SIG:
Publisher:
European Language Resources Association (ELRA)
Note:
Pages:
1895–1901
Language:
URL:
http://www.lrec-conf.org/proceedings/lrec2012/pdf/460_Paper.pdf
DOI:
Bibkey:
Cite (ACL):
Patrícia Gonçalves, Rita Santos, and António Branco. 2012. Treebanking by Sentence and Tree Transformation: Building a Treebank to support Question Answering in Portuguese. In Proceedings of the Eighth International Conference on Language Resources and Evaluation (LREC'12), pages 1895–1901, Istanbul, Turkey. European Language Resources Association (ELRA).
Cite (Informal):
Treebanking by Sentence and Tree Transformation: Building a Treebank to support Question Answering in Portuguese (Gonçalves et al., LREC 2012)
Copy Citation:
PDF:
http://www.lrec-conf.org/proceedings/lrec2012/pdf/460_Paper.pdf