« Multiplication des sources de données, prolifération des objets connectés, augmentation du nombre de capteurs : désormais omniprésents, les flux de données diffusées en temps réel soulèvent la question de l’apprentissage automatique en continu. C’est pour répondre à cette problématique de recherche majeure que des chercheurs du
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« (…) The NLM-Chem corpus consists of 150 full-text articles, doubly annotated by ten expert NLM indexers, with ~5000 unique chemical name annotations, mapped to ~2000 MeSH identifiers. We also describe a substantially improved chemical entity tagger, with automated annotations for all of PubMed and PMC freely accessible through the PubTator…
« Many specialized domains remain untouched by deep learning, as large labeled datasets require expensive expert annotators. We address this bottleneck within the legal domain by introducing the Contract Understanding Atticus Dataset (CUAD), a new dataset for legal contract review. CUAD was created with dozens of legal experts from The Atticus…
« Bias and the prospect of societal harm increasingly plague artificial-intelligence research — but it’s not clear who should be on the lookout for these problems. (…) »
« Responsible Operations is intended to help chart library community engagement with data science, machine learning, and artificial intelligence (AI) and was developed in partnership with an advisory group and a landscape group comprised of more than 70 librarians and professionals from universities, libraries, museums, archives, and other organizations. (…) »
« (…) To automate the evolution of ontologies, we developed ConTrOn- Continuously Trained Ontology – that automatically extracts information from data sheets to augment an ontology created by domainexperts. The evaluation results of ConTrOn show that the enriched ontology can help improve the information extraction from technical documents. Nonetheless, the extracted…
« According to various international reports, Artificial Intelligence in Education (AIEd) is one of the currently emerging fields in educational technology. Whilst it has been around for about 30 years, it is still unclear for educators how to make pedagogical advantage of it on a broader scale, and how it can actually…
« Some studies suggest that the number of scientific papers published in English each year exceeds 3 million, which amounts to thousands per day. Perhaps unsurprisingly, it’s estimated that only half of those papers are ever read by anyone other than the author (or coauthors) and the…
« There are many reasons why Python has emerged as the number one language for data science. It’s easy to get started and relatively forgiving for beginners, yet it’s also powerful and extensible enough for experts to take on complex tasks. But there’s one aspect of Python that has bedeviled developers…
« (…) With the latest advancements from our research team in the science of language understanding–made possible by machine learning–we’re making a significant improvement to how we understand queries, representing the biggest leap forward in the past five years, and one of the biggest leaps forward in the history of Search.…
