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egilron/AfriSenti-SemEval-2023

Domaine:

natural language processing

Type de record:

software
Créateur:
egi
Hôte:
Shared Task 12: Sentiment Analysis for African Languages # SemEval-2023 Task 12: Multilingual fine-tuning for sentiment classification in low-resource languages Repository with our code used for fine-tuning and evaluation for my contribution towards the SemEval-2023 Shared Task 12. The main script for fine-tuning is xlmt_finetuning3.py The contribution evolved from a number of abandoned approaches. We have tried to share what was relevant for the final submission, and hope that the code is self-sufficient and readable. Please raise an issue if you find that something is missing or not in line with the reports in the paper. ## Datasets per language family / group The training data per language category were prepared with dataset_prep_2.ipynb and are stored here. ## Links and citations ``` @misc{rønningstad2023uio, title={UIO at SemEval-2023 Task 12: Multilingual fine-tuning for sentiment classification in low-resource languages}, author={Egil Rønningstad}, year={2023}, eprint={2304.14189}, archivePrefix={arXiv}, primaryClass={cs.CL} } @inproceedings{muhammadSemEval2023, title = {{SemEval-2023 Task 12: Sentiment Analysis for African Languages (AfriSenti-SemEval)}}, author = {Shamsuddeen Hassan Muhammad and Idris Abdulmumin and Seid Muhie Yimam and David Ifeoluwa Adelani and Ibrahim Sa'id Ahmad and Nedjma Ousidhoum and Abinew Ali Ayele and Saif M. Mohammad and Meriem Beloucif and Sebastian Ruder}, booktitle = {Proceedings of the 17th {{International Workshop}} on {{Semantic Evaluation}} ({{SemEval-2023}})}, publisher = {{Association for Computational Linguistics}}, year = {2023} } @misc{muhammad2023afrisenti, title={{AfriSenti: A Twitter Sentiment Analysis Benchmark for African Languages}}, author={Shamsuddeen Hassan Muhammad and Idris Abdulmumin and Abinew Ali Ayele and Nedjma Ousidhoum and David Ifeoluwa Adelani and Seid Muhie Yimam and Ibrahim Sa'id Ahmad and Meriem Beloucif and Saif M. Mohammad and Sebastian Ruder and Oumaima Hourrane and Pavel Brazdil and Felermino Dário Mário António Ali and Davis David and Sal …

Visit

github.com

Tasks

sentiment analysistext classification

Similaires

afrisenti-semeval/afrisent-semeval-2023AfriSenti-SemEval-2023 Task 12SemEval-2023 Task 12: Sentiment Analysis for African Languages (AfriSenti-SemEval) SemEval -2023 المهمة 12: تحليل المشاعر للغات الأفريقية (AfriSenti - SemEval) SemEval-2023 Tâche 12 : Analyse des sentiments pour les langues africaines (AfriSenti-SemEval) SemEval-2023 Tarea 12: Análisis de sentimientos para lenguas africanas (AfriSenti-SemEval)SemEval-2023 Task 12: Sentiment Analysis for African Languages (AfriSenti-SemEval)DuluthNLP at SemEval-2023 Task 12: AfriSenti-SemEval: Sentiment Analysis for Low-resource African Languages using Twitter DatasetTeam ISCL_WINTER at SemEval-2023 Task 12:AfriSenti-SemEval: Sentiment Analysis for Low-resource African Languages using Twitter Dataset

afrisenti-semeval/afrisent-semeval-2023

AfriSenti-SemEval Shared Task 12: Sentiment Analysis for African languages : https://afrisenti-semev

AfriSenti-SemEval-2023 Task 12

AfriSenti-SemEval-2023 Task 12: Multilingual fine-tuning for sentiment classification in low-resourc

SemEval-2023 Task 12: Sentiment Analysis for African Languages (AfriSenti-SemEval) SemEval -2023 المهمة 12: تحليل المشاعر للغات الأفريقية (AfriSenti - SemEval) SemEval-2023 Tâche 12 : Analyse des sentiments pour les langues africaines (AfriSenti-SemEval) SemEval-2023 Tarea 12: Análisis de sentimientos para lenguas africanas (AfriSenti-SemEval)

We present the first Africentric SemEval Shared task, Sentiment Analysis for African Languages (Afri

SemEval-2023 Task 12: Sentiment Analysis for African Languages (AfriSenti-SemEval)

We present the first Africentric SemEval Shared task, Sentiment Analysis for African Languages (Afri

DuluthNLP at SemEval-2023 Task 12: AfriSenti-SemEval: Sentiment Analysis for Low-resource African Languages using Twitter Dataset

Team ISCL_WINTER at SemEval-2023 Task 12:AfriSenti-SemEval: Sentiment Analysis for Low-resource African Languages using Twitter Dataset