Papers by Ahmed Khoumsi

1 papers
Domain Adaptation for Arabic Cross-Domain and Cross-Dialect Sentiment Analysis from Contextualized Word Embedding (2021.naacl-main)

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Challenge: Recent studies have classified dialectal Arabic into more fine-grained levels, including countries and cities.
Approach: They propose to use Arabic domains to transfer knowledge from labeled source domains into unlabeled target domains by transferring the learned knowledge from a labele .
Outcome: The proposed method outperforms other domain adaptation methods and improves performance by 20.8% over the zero-shot transfer learning from BERT.

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