Papers by Tadesse Belay
Walia-LLM: Enhancing Amharic-LLaMA by Integrating Task-Specific and Generative Datasets (2024.findings-emnlp)
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Israel Azime, Atnafu Tonja, Tadesse Belay, Mitiku Yohannes Fuge, Aman Wassie, Eyasu Jada, Yonas Chanie, Walelign Sewunetie, Seid Yimam
| Challenge: | Low-resource languages are left behind due to the unavailability of resources. |
| Approach: | They propose to integrate task-specific and generative datasets to improve language model performance for Amharic by fine-tuning an Amharican instruction fine-to-tuned model. |
| Outcome: | The proposed model shows promising results in different NLP tasks and compares translated instruction datasets with the original model. |
AfriSenti: A Twitter Sentiment Analysis Benchmark for African Languages (2023.emnlp-main)
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Shamsuddeen Muhammad, Idris Abdulmumin, Abinew Ayele, Nedjma Ousidhoum, David Adelani, Seid Yimam, Ibrahim Ahmad, Meriem Beloucif, Saif Mohammad, Sebastian Ruder, Oumaima Hourrane, Alipio Jorge, Pavel Brazdil, Felermino Ali, Davis David, Salomey Osei, Bello Shehu-Bello, Falalu Lawan, Tajuddeen Gwadabe, Samuel Rutunda, Tadesse Belay, Wendimu Messelle, Hailu Balcha, Sisay Chala, Hagos Gebremichael, Bernard Opoku, Stephen Arthur
| Challenge: | Africa has the highest linguistic diversity among all continents. |
| Approach: | They introduce a sentiment analysis benchmark that contains >110,000 tweets in 14 African languages . they describe the data collection methodology, annotation process, and challenges . |
| Outcome: | The proposed dataset contains >110,000 tweets in 14 African languages . the tweets were annotated by native speakers and used in the shared task . |