2 code implementations • 3 Apr 2023 • Iakovos Evdaimon, Hadi Abdine, Christos Xypolopoulos, Stamatis Outsios, Michalis Vazirgiannis, Giorgos Stamou
In addition, we examine its performance on two NLG tasks from GreekSUM, a newly introduced summarization dataset for the Greek language.
no code implementations • 1 Dec 2021 • Hadi Abdine, Yanzhu Guo, Moussa Kamal Eddine, Giannis Nikolentzos, Stamatis Outsios, Guokan Shang, Christos Xypolopoulos, Michalis Vazirgiannis
DaSciM (Data Science and Mining) part of LIX at Ecole Polytechnique, established in 2013 and since then producing research results in the area of large scale data analysis via methods of machine and deep learning.
no code implementations • WNUT (ACL) 2021 • Yanzhu Guo, Virgile Rennard, Christos Xypolopoulos, Michalis Vazirgiannis
We make our model publicly available in the transformers library with the aim of promoting future research in analytic tasks for French tweets.
1 code implementation • 5 May 2021 • Hadi Abdine, Christos Xypolopoulos, Moussa Kamal Eddine, Michalis Vazirgiannis
Adding that pretrained word vectors on huge text corpus achieved high performance in many different NLP tasks.
no code implementations • 15 Feb 2021 • Yanzhu Guo, Christos Xypolopoulos, Michalis Vazirgiannis
We employ an alignment-based approach to compare these embeddings with a general-purpose Twitter embedding unrelated to COVID-19.
no code implementations • 11 Jun 2020 • Paul Boniol, George Panagopoulos, Christos Xypolopoulos, Rajaa El Hamdani, David Restrepo Amariles, Michalis Vazirgiannis
Artificial Intelligence techniques are already popular and important in the legal domain.
1 code implementation • EACL 2021 • Christos Xypolopoulos, Antoine J. -P. Tixier, Michalis Vazirgiannis
A valuable by-product of our method is the ability to sample, at no extra cost, sentences containing different senses of a given word.
no code implementations • 8 Oct 2018 • Stamatis Outsios, Konstantinos Skianis, Polykarpos Meladianos, Christos Xypolopoulos, Michalis Vazirgiannis
Word embeddings are undoubtedly very useful components in many NLP tasks.