The advent of Generative AI has certainly boosted the interest in developing innovative chatbot applications. Despite a vast amount of machine learning (ML) and natural language processing (NLP) research and English language resources that greatly improve chatbot technology, the corresponding research and resources for the Greek language are limited. The contribution of this paper is twofold: (i) it reports on the state-of-the-art research in Greek NLP, as far as language resources, embeddings-based techniques, deep learning models, and existing chatbot applications are concerned; (ii) it offers a set of insights on current NLP models and chatbot implementation methodologies, and outlines a set of pending issues and future research directions.
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CITATION STYLE
Giarelis, N., Mastrokostas, C., Siachos, I., & Karacapilidis, N. (2023). A Review of Greek NLP Technologies for Chatbot Development. In ACM International Conference Proceeding Series (pp. 15–20). Association for Computing Machinery. https://doi.org/10.1145/3635059.3635062