Word Embeddings from Large-Scale Greek Web Content
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Abstract (arXiv)
Word embeddings are undoubtedly very useful components in many NLP tasks. In this paper, we present word embeddings and other linguistic resources trained on the largest to date digital Greek language corpus. We also present a live web tool for testing the Greek word embeddings, by offering "analogy", "similarity score" and "most similar words" functions. Through our explorer, one could interact with the Greek word vectors.
Key facts. Cited by 6 papers in the map (data through 14 Oct 2026). First posted on arXiv 8 Oct 2018.
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Citing papers per year: 2021: 1; 2022: 0; 2023: 2; 2024: 2; 2025: 0; 2026: 1.
6 papers.
- 2023GreekBART: The First Pretrained Greek Sequence-to-Sequence Modelcited by 8
- 2024NLP for The Greek Language: A Longer Surveycited by 8
- 2023GreekT5: A Series of Greek Sequence-to-Sequence Models for News Summarizationcited by 2
- 2024A Systematic Survey of Natural Language Processing for the Greek Languagecited by 1
- 2021NLP Research and Resources at DaSciM, Ecole Polytechniquecited by 0
- 2026MrBERT: Modern Multilingual Encoders via Vocabulary, Domain, and Dimensional Adaptationcited by 0
- 2026MrBERT: Modern Multilingual Encoders via Vocabulary, Domain, and Dimensional Adaptation24 Feb 2026
- 2024NLP for The Greek Language: A Longer Survey20 Aug 2024
- 2024A Systematic Survey of Natural Language Processing for the Greek Language13 Jul 2024
- 2023GreekT5: A Series of Greek Sequence-to-Sequence Models for News Summarization13 Nov 2023
- 2023GreekBART: The First Pretrained Greek Sequence-to-Sequence Model3 Apr 2023
- 2021NLP Research and Resources at DaSciM, Ecole Polytechnique1 Dec 2021