Andreas Grivas
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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
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
Author Profiling using Stylometric and Structural Feature Groupings.
A Grivas, A Krithara, G Giannakopoulos
CLEF (Working Notes), 2015
Comparison of rule-based and neural network models for negation detection in radiology reports
D Sykes, A Grivas, C Grover, R Tobin, C Sudlow, W Whiteley, A McIntosh, ...
Natural Language Engineering 27 (2), 203-224, 2021
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
PaloPro: a platform for knowledge extraction from big social data and the news
N Makrynioti, A Grivas, C Sardianos, N Tsirakis, I Varlamis, V Vassalos, ...
International Journal of Big Data Intelligence 4 (1), 3-22, 2017
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
Taming the Sigmoid Bottleneck: Provably Argmaxable Sparse Multi-Label Classification
A Grivas, A Vergari, A Lopez
Proceedings of the AAAI Conference on Artificial Intelligence 38 (11), 12208 …, 2024
Parsing morphologically-rich languages using neural networks
A Grivas
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