Collecting humorous expressions from a community-based question-answering-service corpus

Masashi Inoue, Toshiki Akagi

Abstract
We proposed a method of collecting humorous expressions from an online community-based question-answering (CQA) corpus where some users post a variety of questions and other users post relevant answers. Although the service is created for the purpose of knowledge exchange, there are users who enjoy posting humorous responses. Therefore, the corpus contains many interesting humour communication examples that might be useful in understanding the nature of online communications and variations in humour. Considering the size of 3; 116; 009 topics, it is necessary to introduce automation in the collection process. However, due to the context dependency of humour expressions, it is hard to collect them automatically by using keywords or key phrases. Our method uses natural language processing based on dissimilarity criteria between answer texts. By using this method, we can collect humour expressions more efficiently than by manual exploration: 30 times more examples per hour.
Anthology ID:
L12-1567
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:
1836–1839
Language:
URL:
http://www.lrec-conf.org/proceedings/lrec2012/pdf/951_Paper.pdf
DOI:
Bibkey:
Cite (ACL):
Masashi Inoue and Toshiki Akagi. 2012. Collecting humorous expressions from a community-based question-answering-service corpus. In Proceedings of the Eighth International Conference on Language Resources and Evaluation (LREC'12), pages 1836–1839, Istanbul, Turkey. European Language Resources Association (ELRA).
Cite (Informal):
Collecting humorous expressions from a community-based question-answering-service corpus (Inoue & Akagi, LREC 2012)
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PDF:
http://www.lrec-conf.org/proceedings/lrec2012/pdf/951_Paper.pdf
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