Papers by Christos Karatsalos
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 . |