This repository contains the models used in the gr-nlp-toolkit project (https://github.com/nlpaueb/gr-nlp-toolkit).
The toolkit includes the following models, all designed specifically for processing the Greek language:
- Named Entity Recognition (NER): Identifies and classifies named entities in Greek text, such as names of people, organizations, and locations.
- Dependency Parsing (DP): Analyzes the grammatical structure of Greek sentences by identifying relationships between words and their dependencies.
- Part Of Speech tagging (POS): Tags each word in Greek text with its corresponding part of speech (e.g., noun, verb, adjective), along with its morphological features.
Note: These models cannot be used as standalone tools; they are integrated into the gr-nlp-toolkit and can only be utilized through it.
References:
C. Dikonimaki, "A Transformer-based natural language processing toolkit for Greek -- Part of speech tagging and dependency parsing", BSc thesis, Department of Informatics, Athens University of Economics and Business, 2021. http://nlp.cs.aueb.gr/theses/dikonimaki_bsc_thesis.pdf
N. Smyrnioudis, "A Transformer-based natural language processing toolkit for Greek -- Named entity recognition and multi-task learning", BSc thesis, Department of Informatics, Athens University of Economics and Business, 2021. http://nlp.cs.aueb.gr/theses/smyrnioudis_bsc_thesis.pdf