COVID-19 therapy target discovery with context-aware literature mining

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COVID-19 therapy target discovery with context-aware literature mining

30 July 2020

Martin Marzidovsek

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Papers citing "COVID-19 therapy target discovery with context-aware literature mining"

9 / 9 papers shown

Title
SciSight: Combining faceted navigation and research group detection for COVID-19 exploratory scientific search Tom Hope Jason Portenoy Kishore Vasan Jon Borchardt Eric Horvitz Daniel S. Weld Marti A. Hearst Jevin D. West FedML 59 58 0 20 May 2020
Leveraging Contextual Embeddings for Detecting Diachronic Semantic Shift Matej Martinc Petra Kralj Novak Senja Pollak 30 72 0 02 Dec 2019
SciBERT: A Pretrained Language Model for Scientific Text Iz Beltagy Kyle Lo Arman Cohan 137 2,974 0 26 Mar 2019
BioBERT: a pre-trained biomedical language representation model for biomedical text mining Jinhyuk Lee Wonjin Yoon Sungdong Kim Donghyeon Kim Sunkyu Kim Chan Ho So Jaewoo Kang OOD 156 5,659 0 25 Jan 2019
BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding Jacob Devlin Ming-Wei Chang Kenton Lee Kristina Toutanova VLM SSL SSeg 1.8K 94,891 0 11 Oct 2018
SentencePiece: A simple and language independent subword tokenizer and detokenizer for Neural Text Processing Taku Kudo John Richardson 196 3,520 0 19 Aug 2018
Deep contextualized word representations Matthew E. Peters Mark Neumann Mohit Iyyer Matt Gardner Christopher Clark Kenton Lee Luke Zettlemoyer NAI 214 11,556 0 15 Feb 2018
Enriching Word Vectors with Subword Information Piotr Bojanowski Edouard Grave Armand Joulin Tomas Mikolov NAI SSL VLM 229 9,972 0 15 Jul 2016
Efficient Estimation of Word Representations in Vector Space Tomas Mikolov Kai Chen G. Corrado J. Dean 3DV 677 31,512 0 16 Jan 2013

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