8 citations · 30 across the 13 of their papers we have counts for
4 papers · 1 filter
A Highly Effective Low-Rank Compression of Deep Neural Networks with Modified Beam-Search and Modified Stable Rank
Moonjung Eo, Suhyun Kang, Wonjong Rhee
Compression has emerged as one of the essential deep learning research topics, especially for the edge devices that have limited computation power and storage capacity. Among the m…
BERTweetFR : Domain Adaptation of Pre-Trained Language Models for French Tweets
Yanzhu Guo, Virgile Rennard, Christos Xypolopoulos +1
We introduce BERTweetFR, the first large-scale pre-trained language model for French tweets. Our model is initialized using the general-domain French language model CamemBERT which…
Evaluation Of Word Embeddings From Large-Scale French Web Content
Hadi Abdine, Christos Xypolopoulos, Moussa Kamal Eddine +1
Distributed word representations are popularly used in many tasks in natural language processing. Adding that pretrained word vectors on huge text corpus achieved high performance…
How COVID-19 Is Changing Our Language : Detecting Semantic Shift in Twitter Word Embeddings
Yanzhu Guo, Christos Xypolopoulos, Michalis Vazirgiannis
Words are malleable objects, influenced by events that are reflected in written texts. Situated in the global outbreak of COVID-19, our research aims at detecting semantic shifts i…