Zobrazeno 1 - 5
of 5
pro vyhledávání: '"Outsios, Stamatis"'
Autor:
Evdaimon, Iakovos, Abdine, Hadi, Xypolopoulos, Christos, Outsios, Stamatis, Vazirgiannis, Michalis, Stamou, Giorgos
The era of transfer learning has revolutionized the fields of Computer Vision and Natural Language Processing, bringing powerful pretrained models with exceptional performance across a variety of tasks. Specifically, Natural Language Processing tasks
Externí odkaz:
http://arxiv.org/abs/2304.00869
Autor:
Abdine, Hadi, Guo, Yanzhu, Eddine, Moussa Kamal, Nikolentzos, Giannis, Outsios, Stamatis, Shang, Guokan, Xypolopoulos, Christos, Vazirgiannis, Michalis
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. The group has been specifically acti
Externí odkaz:
http://arxiv.org/abs/2112.00566
In this paper we present a new ensemble method, Continuous Bag-of-Skip-grams (CBOS), that produces high-quality word representations putting emphasis on the modern Greek language. The CBOS method combines the pioneering approaches for learning word r
Externí odkaz:
http://arxiv.org/abs/1912.04965
Since word embeddings have been the most popular input for many NLP tasks, evaluating their quality is of critical importance. Most research efforts are focusing on English word embeddings. This paper addresses the problem of constructing and evaluat
Externí odkaz:
http://arxiv.org/abs/1904.04032
Autor:
Outsios, Stamatis, Skianis, Konstantinos, Meladianos, Polykarpos, Xypolopoulos, Christos, Vazirgiannis, Michalis
Word embeddings are undoubtedly very useful components in many NLP tasks. In this paper, we present word embeddings and other linguistic resources trained on the largest to date digital Greek language corpus. We also present a live web tool for testi
Externí odkaz:
http://arxiv.org/abs/1810.06694