Work

A Report on the 2020 Sarcasm Detection Shared Task

Year: 2020

Type: conference-paper

Abstract: Detecting sarcasm and verbal irony is critical for understanding people's actual sentiments and beliefs.Thus, the field of sarcasm analysis has become a popular research problem in natural language processing.As the community working on computational approaches for sarcasm detection is growing, it is imperative to conduct benchmarking studies to analyze the current state-of-the-art, facilitating progress in this area.We report on the shared task on sarcasm detection we conducted as a part of the 2nd Workshop on Figurative Language Processing (FigLang 2020) at ACL 2020.

Source: Workshop on Figurative Language Processing (FigLang)

DOI: 10.18653/v1/2020.figlang-1.1

Authors: Debanjan Ghosh, Avijit Vajpayee, Smaranda Muresan

Institutions: Educational Testing Service, Massachusetts Institute of Technology, Columbia University

Language: English

Topic: Sentiment Analysis and Opinion Mining

Subfield: Artificial Intelligence

Field: Computer Science

Domain: Physical Sciences

Open Access status: hybrid

OpenAlex ID: W3024201584

FWCI: 4.484

Cites: 66

Cited by: 59

Related to: 20