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Improving Adverse Drug Event Extraction with SpanBERT on Different Text
  Typologies

Improving Adverse Drug Event Extraction with SpanBERT on Different Text Typologies

19 May 2021
Beatrice Portelli
Daniele Passabi
Edoardo Lenzi
G. Serra
Enrico Santus
Emmanuele Chersoni
    MedIm
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Papers citing "Improving Adverse Drug Event Extraction with SpanBERT on Different Text Typologies"

5 / 5 papers shown
Title
AILAB-Udine@SMM4H 22: Limits of Transformers and BERT Ensembles
AILAB-Udine@SMM4H 22: Limits of Transformers and BERT Ensembles
Beatrice Portelli
Simone Scaboro
Emmanuele Chersoni
Enrico Santus
Giuseppe Serra
MoE
21
5
0
07 Sep 2022
Increasing Adverse Drug Events extraction robustness on social media:
  case study on negation and speculation
Increasing Adverse Drug Events extraction robustness on social media: case study on negation and speculation
Simone Scaboro
Beatrice Portelli
Emmanuele Chersoni
Enrico Santus
G. Serra
32
5
0
06 Sep 2022
NADE: A Benchmark for Robust Adverse Drug Events Extraction in Face of
  Negations
NADE: A Benchmark for Robust Adverse Drug Events Extraction in Face of Negations
Simone Scaboro
Beatrice Portelli
Emmanuele Chersoni
Enrico Santus
G. Serra
25
9
0
21 Sep 2021
Span-based Joint Entity and Relation Extraction with Transformer
  Pre-training
Span-based Joint Entity and Relation Extraction with Transformer Pre-training
Markus Eberts
A. Ulges
LRM
ViT
164
381
0
17 Sep 2019
Google's Neural Machine Translation System: Bridging the Gap between
  Human and Machine Translation
Google's Neural Machine Translation System: Bridging the Gap between Human and Machine Translation
Yonghui Wu
M. Schuster
Zhehuai Chen
Quoc V. Le
Mohammad Norouzi
...
Alex Rudnick
Oriol Vinyals
G. Corrado
Macduff Hughes
J. Dean
AIMat
718
6,750
0
26 Sep 2016
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