Work

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

Year: 2017

Type: conference-paper

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.

Source: International Workshop on Semantic Evaluation (SemEval)

DOI: 10.18653/v1/s17-2078

Authors: Yuhuan Xiu, Man Lan, Yuanbin Wu

Institution: East China Normal University

Language: English

Topic: Natural Language Processing Techniques

Subfield: Artificial Intelligence

Field: Computer Science

Domain: Physical Sciences

Open Access status: hybrid

Funders: National Natural Science Foundation of China, Science and Technology Commission of Shanghai Municipality

Awards: G2061749428, G3200469410, G3243303943, G5661849975