Work

niksss at SemEval-2022 Task 6: Are Traditionally Pre-Trained Contextual Embeddings Enough for Detecting Intended Sarcasm ?

Year: 2022

Type: conference-paper

Abstract: This paper presents the 10th and 11th place system for Subtask A -English and Subtask A -Arabic respectively of the SemEval 2022 -Task 6.The purpose of the Subtask A was to classify a given text sequence into sarcastic and nonsarcastic.We also breifly cover our method for Subtask B which performed subpar when compared with most of the submissions on the official leaderboard .All of the developed solutions used a transformers based language model for encoding the text sequences with necessary changes of the pretrained weights and classifier according to the language and subtask at hand .

Source: International Workshop on Semantic Evaluation (SemEval)

DOI: 10.18653/v1/2022.semeval-1.127

Author: Nikhil Singh

Institution: Manipal University Jaipur

Language: English

Topic: Sentiment Analysis and Opinion Mining

Subfield: Artificial Intelligence

Field: Computer Science

Domain: Physical Sciences

Open Access status: hybrid

OpenAlex ID: W4287890449

FWCI:

Cites: 19

Cited by:

Related to: 10