SemEval 2024 Task 1 : Textual Semantic Relatedness
-
Updated
Jun 22, 2024 - Jupyter Notebook
SemEval 2024 Task 1 : Textual Semantic Relatedness
The official fork of THoR Chain-of-Thought framework, enhanced and adapted for Emotion Cause Analysis (ECAC-2024)
This repository is for the paper UAlberta at SemEval-2024 Task 1: A Potpourri of Methods for Quantifying Multilingual Semantic Textual Relatedness and Similarity. In Proceedings of the 18th International Workshop on Semantic Evaluation (SemEval-2024). Association for Computational Linguistics.
Code for team art.-nat.'s submission to SemEval 2024 task 8 on multi-domain, multi-generator human vs. machine generated text classification.
L3i++ at SemEval2024-task8: Multidomain, Multimodel and Multilingual Machine-Generated Text Detection
📄 SemEval 2024 Task 8: Artificial Intelligence Text Detection System using Natural Language Processing and Neural Network techniques.
The supplementary sevice over THoR Chain-of-Thought framework as part of SemEval-2024 Task 3 paper
Extracting Emotion-Cause Pairs from Conversations: A Two-Step Approach Using Emotion Classification and QA Models
Add a description, image, and links to the semeval-2024 topic page so that developers can more easily learn about it.
To associate your repository with the semeval-2024 topic, visit your repo's landing page and select "manage topics."