3 citations · 5 across the 4 of their papers we have counts for
3 papers · 1 filter
Leveraging Knowledge Graph Embeddings to Enhance Contextual Representations for Relation Extraction
Fréjus A. A. Laleye, Loïc Rakotoson, Sylvain Massip
Relation extraction task is a crucial and challenging aspect of Natural Language Processing. Several methods have surfaced as of late, exhibiting notable performance in addressing…
Science Checker: Extractive-Boolean Question Answering For Scientific Fact Checking
Loïc Rakotoson, Charles Letaillieur, Sylvain Massip +1
With the explosive growth of scientific publications, making the synthesis of scientific knowledge and fact checking becomes an increasingly complex task. In this paper, we propose…
BagBERT: BERT-based bagging-stacking for multi-topic classification
Loïc Rakotoson, Charles Letaillieur, Sylvain Massip +1
This paper describes our submission on the COVID-19 literature annotation task at Biocreative VII. We proposed an approach that exploits the knowledge of the globally non-optimal w…