Papers by Stamatis Outsios

2 papers
GreekBART: The First Pretrained Greek Sequence-to-Sequence Model (2024.lrec-main)

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Challenge: Transfer learning has revolutionized the fields of Computer Vision and Natural Language Processing.
Approach: They introduce a new language model, GreekBART, that is based on a BART-base architecture.
Outcome: The proposed model outperforms BERT, GPT and other transformer-based models on discriminative tasks.
Evaluation of Greek Word Embeddings (2020.lrec-1)

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Challenge: Word embeddings are the most popular input for many NLP tasks.
Approach: They propose to use Greek word embeddings as an unsupervised learning tool . they use a Greek word analogy test set and a morphological test collection to evaluate word similarities .
Outcome: The proposed model is able to create meaningful representations of Greek words . the proposed model can be adapted to Greek language and polysemy .

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