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Winner system (DAMO-NLP) of SemEval 2022 MultiCoNER shared task over 10 out of 13 tracks.
SemEval-2022 Shared Task 10: Structured Sentiment Analysis
Deep-learning system proposed by HFL for SemEval-2022 Task 8: Multilingual News Similarity
Sarcasm is a term that refers to the use of words to mock, irritate, or amuse someone. It is commonly used on social media. The metaphorical and creative nature of sarcasm presents a significant difficulty for sentiment analysis systems based on affective computing. The technique and results of our team, UTNLP, in the SemEval-2022 shared task 6 on sarcasm detection are presented in this paper.
Code for 3 papers: 1) "Fuzzy-Rough Nearest Neighbour Approaches for Emotion Detection in Tweets"; 2) "LT3 at SemEval-2022 Task 6: Fuzzy-Rough Nearest neighbor Classification for Sarcasm Detection"; 3) "Fuzzy Rough Nearest Neighbour Methods for Detecting Emotions, Hate Speech and Irony" by O. Kaminska, Ch. Cornelis and V. Hoste.
This repository contains the code for submission made at SemEval 2022 Task 5: MAMI
Patronizing and Condescending Language (PCL) detection: A multi-class classification approach.
This repository contains the code of my solution for the SemEval-2022 Shared Task 10: Structured Sentiment Analysis.