Folgen
Andreas Grivas
Titel
Zitiert von
Zitiert von
Jahr
A systematic review of natural language processing applied to radiology reports
A Casey, E Davidson, M Poon, H Dong, D Duma, A Grivas, C Grover, ...
BMC medical informatics and decision making 21 (1), 1-18, 2021
1072021
What do character-level models learn about morphology? The case of dependency parsing
C Vania, A Grivas, A Lopez
arXiv preprint arXiv:1808.09180, 2018
332018
Author Profiling using Stylometric and Structural Feature Groupings.
A Grivas, A Krithara, G Giannakopoulos
CLEF (Working Notes), 2015
312015
Not a cute stroke: analysis of rule-and neural network-based information extraction systems for brain radiology reports
A Grivas, B Alex, C Grover, R Tobin, W Whiteley
Proceedings of the 11th international workshop on health text mining and …, 2020
242020
Low-rank softmax can have unargmaxable classes in theory but rarely in practice
A Grivas, N Bogoychev, A Lopez
arXiv preprint arXiv:2203.06462, 2022
72022
Taming the Sigmoid Bottleneck: Provably Argmaxable Sparse Multi-Label Classification
A Grivas, A Vergari, A Lopez
arXiv preprint arXiv:2310.10443, 2023
12023
Parsing morphologically-rich languages using neural networks
A Grivas
Das System kann den Vorgang jetzt nicht ausführen. Versuchen Sie es später erneut.
Artikel 1–7