Panagiotis Kouris

According to our database, Panagiotis Kouris authored at least 8 papers between 2017 and 2021.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2021

Semantic enrichment of documents: a classification perspective for ontology-based imbalanced semantic descriptions.

Georgios Stratogiannis, Panagiotis Kouris, Georgios Alexandridis, Georgios Siolas, Giorgos Stamou, Andreas Stafylopatis

Knowl. Inf. Syst., 2021

Abstractive Text Summarization: Enhancing Sequence-to-Sequence Models Using Word Sense Disambiguation and Semantic Content Generalization.

Panagiotis Kouris, Georgios Alexandridis, Andreas Stafylopatis

Comput. Linguistics, 2021

2020

Relations Among MOCAP and Textual Data of Motion Verbs: A Distance Calculation Perspective.

Marietta Sionti, Panagiotis Kouris, Chrysovalantis Korfitis, Vasiliki Moutzouri, Stella Markantonatou

Int. J. Art Cult. Des. Technol., 2020

A versatile package recommendation framework aiming at preference score maximization.

Panagiotis Kouris, Iraklis Varlamis, Georgios Alexandridis, Andreas Stafylopatis

Evol. Syst., 2020

Motion Capture of Modern Greek Verbs: Measuring aspects and relations among actions.

Panagiotis Kouris, Marietta Sionti, Chrysovalantis Korfitis, Stella Markantonatou

Proceedings of the 2020 IEEE International Conference on Pervasive Computing and Communications Workshops, 2020

2019

Abstractive Text Summarization Based on Deep Learning and Semantic Content Generalization.

Panagiotis Kouris, Georgios Alexandridis, Andreas Stafylopatis

Proceedings of the 57th Conference of the Association for Computational Linguistics, 2019

2018

Fixed Similes: Measuring aspects of the relation between MWE idiomatic semantics and syntactic flexibility.

Stella Markantonatou, Panagiotis Kouris, Yanis Maistros

Proceedings of the Joint Workshop on Linguistic Annotation, 2018

2017

A Package Recommendation Framework Based on Collaborative Filtering and Preference Score Maximization.

Panagiotis Kouris, Iraklis Varlamis, Georgios Alexandridis

Proceedings of the Engineering Applications of Neural Networks, 2017