Work

LISACTeam at SemEval-2022 Task 6: A Transformer based Approach for Intended Sarcasm Detection in English Tweets

Year: 2022

Type: conference-paper

Abstract: In this paper, we present our system and findings for SemEval-2022 Task 6 -iSarcasmEval: Intended Sarcasm Detection in English.The main objective of this task was to identify sarcastic tweets.This task was challenging mainly due to (1) the small training dataset that contains only 3468 tweets and (2) the imbalanced class distribution (25% sarcastic and 75% non-sarcastic).Our submitted model (ranked eighth on Sub-Task A and fifth on Sub-Task C) consists of a Transformer-based approach (BERTweet model).

Source: International Workshop on Semantic Evaluation (SemEval)

DOI: 10.18653/v1/2022.semeval-1.139

Authors: Abdessamad Benlahbib, Hamza Alami, Ahmed Alami

Institutions: Université Ibn-Tofail, High-Tech Rabat-Agdal

Language: English

Topic: Sentiment Analysis and Opinion Mining

Subfield: Artificial Intelligence

Field: Computer Science

Domain: Physical Sciences

Open Access status: hybrid

OpenAlex ID: W4287854480

FWCI: 0.138

Cites: 21

Cited by: 1

Related to: 10