@inproceedings{aryal-prioleau-2023-howard,
title = "{H}oward {U}niversity Computer Science at {S}em{E}val-2023 Task 12: A 2-Step System Design for Multilingual Sentiment Classification with Language Identification",
author = "Aryal, Saurav and
Prioleau, Howard",
editor = {Ojha, Atul Kr. and
Do{\u{g}}ru{\"o}z, A. Seza and
Da San Martino, Giovanni and
Tayyar Madabushi, Harish and
Kumar, Ritesh and
Sartori, Elisa},
booktitle = "Proceedings of the 17th International Workshop on Semantic Evaluation (SemEval-2023)",
month = jul,
year = "2023",
address = "Toronto, Canada",
publisher = "Association for Computational Linguistics",
url = "https://aclanthology.org/2023.semeval-1.297",
doi = "10.18653/v1/2023.semeval-1.297",
pages = "2153--2159",
abstract = "The recent release of the AfriSenti-SemEval shared Task 12 has made available 14 new datasets annotated for sentiment analysis on African Languages. We proposed and evaluated two approaches to this task, Delta TF-IDF, and a proposed Language-Specific Model Fusion Algorithm using Language Identification, both of which produced comparable or better classification performance than the current state-of-art models on this task: AfriBERTa, AfroXLMR, and AfroLM.",
}
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<abstract>The recent release of the AfriSenti-SemEval shared Task 12 has made available 14 new datasets annotated for sentiment analysis on African Languages. We proposed and evaluated two approaches to this task, Delta TF-IDF, and a proposed Language-Specific Model Fusion Algorithm using Language Identification, both of which produced comparable or better classification performance than the current state-of-art models on this task: AfriBERTa, AfroXLMR, and AfroLM.</abstract>
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%0 Conference Proceedings
%T Howard University Computer Science at SemEval-2023 Task 12: A 2-Step System Design for Multilingual Sentiment Classification with Language Identification
%A Aryal, Saurav
%A Prioleau, Howard
%Y Ojha, Atul Kr.
%Y Doğruöz, A. Seza
%Y Da San Martino, Giovanni
%Y Tayyar Madabushi, Harish
%Y Kumar, Ritesh
%Y Sartori, Elisa
%S Proceedings of the 17th International Workshop on Semantic Evaluation (SemEval-2023)
%D 2023
%8 July
%I Association for Computational Linguistics
%C Toronto, Canada
%F aryal-prioleau-2023-howard
%X The recent release of the AfriSenti-SemEval shared Task 12 has made available 14 new datasets annotated for sentiment analysis on African Languages. We proposed and evaluated two approaches to this task, Delta TF-IDF, and a proposed Language-Specific Model Fusion Algorithm using Language Identification, both of which produced comparable or better classification performance than the current state-of-art models on this task: AfriBERTa, AfroXLMR, and AfroLM.
%R 10.18653/v1/2023.semeval-1.297
%U https://aclanthology.org/2023.semeval-1.297
%U https://doi.org/10.18653/v1/2023.semeval-1.297
%P 2153-2159
Markdown (Informal)
[Howard University Computer Science at SemEval-2023 Task 12: A 2-Step System Design for Multilingual Sentiment Classification with Language Identification](https://aclanthology.org/2023.semeval-1.297) (Aryal & Prioleau, SemEval 2023)
ACL