Katsalis Alkiviadis (Phd Candidate)

Thesis title: Machine Learning Methods for Natural Language Processing (NLP) and Natural Language Generation (NLG)

Supervisor: Diamantaras Konstantinos

Advisory Committee Members:

Athena Vakali, Professor, School of Informatics, AUTH
Michail Salampasis, Professor, Dept. of Information and Electronic Engineering, IHU

Abstract:

The scope of the PhD Thesis is the contribution with new ideas and improvements in the area of Natural Language Processing (NLP) and Natural Language Generation (NLG). More specifically, the research will be focused on Automatic Text Summarization. One idea is to enrich word/sentence embeddings in terms of syntax, semantics and the context of the text. The use of Knowledge Graphs will be examined on how useful can be in order to achieve the aforementioned aims. Furthermore, except from the English language, the final implementation is aiming to include approaches for the Greek language as well, where the needs of research in the area of NLP are greater and equally important.