ECNU at SemEval-2017 Task 7: Using Supervised and Unsupervised Methods to Detect and Locate English Puns

Yuhuan Xiu, Man Lan, Yuanbin Wu


Abstract
This paper describes our submissions to task 7 in SemEval 2017, i.e., Detection and Interpretation of English Puns. We participated in the first two subtasks, which are to detect and locate English puns respectively. For subtask 1, we presented a supervised system to determine whether or not a sentence contains a pun using similarity features calculated on sense vectors or cluster center vectors. For subtask 2, we established an unsupervised system to locate the pun by scoring each word in the sentence and we assumed that the word with the smallest score is the pun.
Anthology ID:
S17-2078
Volume:
Proceedings of the 11th International Workshop on Semantic Evaluation (SemEval-2017)
Month:
August
Year:
2017
Address:
Vancouver, Canada
Editors:
Steven Bethard, Marine Carpuat, Marianna Apidianaki, Saif M. Mohammad, Daniel Cer, David Jurgens
Venue:
SemEval
SIG:
SIGLEX
Publisher:
Association for Computational Linguistics
Note:
Pages:
453–456
Language:
URL:
https://aclanthology.org/S17-2078
DOI:
10.18653/v1/S17-2078
Bibkey:
Cite (ACL):
Yuhuan Xiu, Man Lan, and Yuanbin Wu. 2017. ECNU at SemEval-2017 Task 7: Using Supervised and Unsupervised Methods to Detect and Locate English Puns. In Proceedings of the 11th International Workshop on Semantic Evaluation (SemEval-2017), pages 453–456, Vancouver, Canada. Association for Computational Linguistics.
Cite (Informal):
ECNU at SemEval-2017 Task 7: Using Supervised and Unsupervised Methods to Detect and Locate English Puns (Xiu et al., SemEval 2017)
Copy Citation:
PDF:
https://aclanthology.org/S17-2078.pdf