Text mining approaches for dealing with the rapidly expanding literature on COVID-19

« More than 50 000 papers have been published about COVID-19 since the beginning of 2020 and several hundred new papers … Continuer la lecture de « Text mining approaches for dealing with the rapidly expanding literature on COVID-19 »

Source > academic.oup.com, Lucy Lu Wang, Kyle Lo, Text mining approaches for dealing with the rapidly expanding literature on COVID-19, Briefings in Bioinformatics, , bbaa296, https://doi.org/10.1093/bib/bbaa296

Proceedings of the First Workshop on Scholarly Document Processing (SDP 2020) – November 19, Online

« SDP is a full day workshop that provides an interdisciplinary venue for researchers interested in any aspect of mining scientific … Continuer la lecture de « Proceedings of the First Workshop on Scholarly Document Processing (SDP 2020) – November 19, Online »

Source > aclweb.org, Association for Computational Linguistics, novembre 2020

Exploring Transfer Learning with T5: the Text-To-Text Transfer Transformer

« (…) In “Exploring the Limits of Transfer Learning with a Unified Text-to-Text Transformer”, we present a large-scale empirical survey to … Continuer la lecture de « Exploring Transfer Learning with T5: the Text-To-Text Transfer Transformer »

Source > ai.googleblog.com, Adam Roberts, Colin Raffel, 24 février 2020

Automatic Slide Generation for Scientific Papers

« We describe our approach for automatically generating presentation slides for scientific papers using deep neural networks. Such slides can help … Continuer la lecture de « Automatic Slide Generation for Scientific Papers »

Source > ceur-ws.org, Athar Sefid, Prasenjit Mitra, Jian Wu, C. Lee Giles, Proceedings of the Third International Workshop on Capturing Scientific Knowledge, CEUR Workshop Proceedings, vol 2526, urn:nbn:de:0074-2526-7