Logo Lanfrica
  • Accueil
  • Atlas
  • Analyses
  • Documentation
  • Sign in

© 2026 Lanfrica. Tous droits réservés. Tous les droits d'auteur des ressources affichées sur le site Web Lanfrica appartiennent aux détenteurs de droits d'auteur d'origine, sauf indication contraire explicite.

GMNLP at SemEval-2023 Task 12: Sentiment Analysis with Phylogeny-Based Adapters

Domaine:

natural language processing

Type de record:

papermodel
Créateur:
Alam, Md Mahfuz IbnXieFaiAnastasopoulos, Antonios
Hôte:avatar
This report describes GMU's sentiment analysis system for the SemEval-2023 shared task AfriSenti-SemEval. We participated in all three sub-tasks: Monolingual, Multilingual, and Zero-Shot. Our approach uses models initialized with AfroXLMR-large, a pre-trained multilingual language model trained on African languages and fine-tuned correspondingly. We also introduce augmented training data along with original training data. Alongside finetuning, we perform phylogeny-based adapter tuning to create several models and ensemble the best models for the final submission. Our system achieves the best F1-score on track 5: Amharic, with 6.2 points higher F1-score than the second-best performing system on this track. Overall, our system ranks 5th among the 10 systems participating in all 15 tracks. Accepted at SemEval Workshop at ACL 2023

Visit

arxiv.org

Tasks

sentiment analysistext classification

Languages

Amharic

Tags

Computation and LanguageMachine Learning

Similaires

KINLP at SemEval-2023 Task 12: Kinyarwanda Tweet Sentiment AnalysisSemEval-2023 Task 12: Sentiment Analysis for African Languages (AfriSenti-SemEval)Witcherses at SemEval-2023 Task 12: Ensemble Learning for African Sentiment AnalysisMasakhane-Afrisenti at SemEval-2023 Task 12: Sentiment Analysis using Afro-centric Language Models and Adapters for Low-resource African LanguagesHausaNLP at SemEval-2023 Task 12: Leveraging African Low Resource TweetData for Sentiment AnalysisPingAnLifeInsurance at SemEval-2023 Task 12: Sentiment Analysis for Low-resource African Languages with Multi-Model Fusion

KINLP at SemEval-2023 Task 12: Kinyarwanda Tweet Sentiment Analysis

This paper describes the system entered by the author to the SemEval-2023 Task 12: Sentiment analysi

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

Witcherses at SemEval-2023 Task 12: Ensemble Learning for African Sentiment Analysis

This paper describes our system submission for SemEval-2023 Task 12 AfriSenti-SemEval: Sentiment Ana

Masakhane-Afrisenti at SemEval-2023 Task 12: Sentiment Analysis using Afro-centric Language Models and Adapters for Low-resource African Languages

AfriSenti-SemEval Shared Task 12 of SemEval-2023. The task aims to perform monolingual sentiment cla

HausaNLP at SemEval-2023 Task 12: Leveraging African Low Resource TweetData for Sentiment Analysis

We present the findings of SemEval-2023 Task 12, a shared task on sentiment analysis for low-resourc

PingAnLifeInsurance at SemEval-2023 Task 12: Sentiment Analysis for Low-resource African Languages with Multi-Model Fusion