Abstract
Finding useful questions is a challenging task in Community Question Answering (CQA). There are two key issues need to be resolved: 1) what is a useful question to the given reference question; and furthermore 2) what kind of relations exist between a given pair of questions. In order to answer these two questions, in this paper, we propose a fine-grained inventory of textual semantic relations between questions and annotate a corpus constructed from the WikiAnswers website. We also extract large archives of question pairs with user-generated links and use them as labeled data for separating useful questions from neutral ones, achieving 72.2% of accuracy. We find such online CQA repositories valuable resources for related research.- Anthology ID:
- L12-1606
- 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:
- 4092–4097
- Language:
- URL:
- http://www.lrec-conf.org/proceedings/lrec2012/pdf/1017_Paper.pdf
- DOI:
- Cite (ACL):
- Rui Wang and Shuguang Li. 2012. Constructing a Question Corpus for Textual Semantic Relations. In Proceedings of the Eighth International Conference on Language Resources and Evaluation (LREC'12), pages 4092–4097, Istanbul, Turkey. European Language Resources Association (ELRA).
- Cite (Informal):
- Constructing a Question Corpus for Textual Semantic Relations (Wang & Li, LREC 2012)
- PDF:
- http://www.lrec-conf.org/proceedings/lrec2012/pdf/1017_Paper.pdf