Year: 2017
Type: conference-paper
Abstract: This paper describes our system, entitled Idiom Savant, for the 7th Task of the Semeval 2017 workshop, "Detection and interpretation of English Puns".Our system consists of two probabilistic models for each type of puns using Google n-grams and Word2Vec.Our system achieved fscore of 0.84, 0.663, and 0.07 in homographic puns and 0.8439, 0.6631, and 0.0806 in heterographic puns in task 1, task 2, and task 3 respectively.
DOI: 10.18653/v1/s17-2011
Authors: Samuel Doogan, Aniruddha Ghosh, Hanyang Chen, Tony Veale
Institution: University College Dublin
Language: English
Subfield: Artificial Intelligence
Field: Computer Science
Domain: Physical Sciences
Open Access status: hybrid
OpenAlex ID: W2753550537
