BuzzSaw at SemEval-2017 Task 7: Global vs. Local Context for Interpreting and Locating Homographic English Puns with Sense Embeddings
Year: 2017
Type: conference-paper
Abstract: This paper describes our system participating in the SemEval-2017 Task 7, for the subtasks of homographic pun location and homographic pun interpretation.For pun interpretation, we use a knowledgebased Word Sense Disambiguation (WSD) method based on sense embeddings.Punbased jokes can be divided into two parts, each containing information about the two distinct senses of the pun.To exploit this structure we split the context that is input to the WSD system into two local contexts and find the best sense for each of them.We use the output of pun interpretation for pun location.As we expect the two meanings of a pun to be very dissimilar, we compute sense embedding cosine distances for each sense-pair and select the word that has the highest distance.We describe experiments on different methods of splitting the context and compare our method to several baselines.We find evidence supporting our hypotheses and obtain competitive results for pun interpretation.
DOI: 10.18653/v1/s17-2076
Authors: Dieke Oele, Kilian Evang
Institution: University of Groningen
Language: English
Subfield: Artificial Intelligence
Field: Computer Science
Domain: Physical Sciences
Open Access status: hybrid
OpenAlex ID: W2752334231