6 citations · 15 across the 8 of their papers we have counts for
9 papers
Questioning the Validity of Summarization Datasets and Improving Their Factual Consistency
Yanzhu Guo, Chloé Clavel, Moussa Kamal Eddine +1
The topic of summarization evaluation has recently attracted a surge of attention due to the rapid development of abstractive summarization systems. However, the formulation of the…
DATScore: Evaluating Translation with Data Augmented Translations
Moussa Kamal Eddine, Guokan Shang, Michalis Vazirgiannis
The rapid development of large pretrained language models has revolutionized not only the field of Natural Language Generation (NLG) but also its evaluation. Inspired by the recent…
Word Sense Induction with Hierarchical Clustering and Mutual Information Maximization
Hadi Abdine, Moussa Kamal Eddine, Michalis Vazirgiannis +1
Word sense induction (WSI) is a difficult problem in natural language processing that involves the unsupervised automatic detection of a word's senses (i.e. meanings). Recent work…
GEMv2: Multilingual NLG Benchmarking in a Single Line of Code
Sebastian Gehrmann, Abhik Bhattacharjee, Abinaya Mahendiran +74
Evaluation in machine learning is usually informed by past choices, for example which datasets or metrics to use. This standardization enables the comparison on equal footing using…
AraBART: a Pretrained Arabic Sequence-to-Sequence Model for Abstractive Summarization
Moussa Kamal Eddine, Nadi Tomeh, Nizar Habash +2
Like most natural language understanding and generation tasks, state-of-the-art models for summarization are transformer-based sequence-to-sequence architectures that are pretraine…
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…
FrugalScore: Learning Cheaper, Lighter and Faster Evaluation Metricsfor Automatic Text Generation
Moussa Kamal Eddine, Guokan Shang, Antoine J. -P. Tixier +1
Fast and reliable evaluation metrics are key to R&D progress. While traditional natural language generation metrics are fast, they are not very reliable. Conversely, new metrics ba…
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…
BARThez: a Skilled Pretrained French Sequence-to-Sequence Model
Moussa Kamal Eddine, Antoine J. -P. Tixier, Michalis Vazirgiannis
Inductive transfer learning has taken the entire NLP field by storm, with models such as BERT and BART setting new state of the art on countless NLU tasks. However, most of the ava…