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Uppsala NLP at SemEval-2021 Task 2: Multilingual Language Models for
  Fine-tuning and Feature Extraction in Word-in-Context Disambiguation

Uppsala NLP at SemEval-2021 Task 2: Multilingual Language Models for Fine-tuning and Feature Extraction in Word-in-Context Disambiguation

8 April 2021
Huiling You
Xingran Zhu
Sara Stymne
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Papers citing "Uppsala NLP at SemEval-2021 Task 2: Multilingual Language Models for Fine-tuning and Feature Extraction in Word-in-Context Disambiguation"

2 / 2 papers shown
Title
FewTopNER: Integrating Few-Shot Learning with Topic Modeling and Named Entity Recognition in a Multilingual Framework
FewTopNER: Integrating Few-Shot Learning with Topic Modeling and Named Entity Recognition in a Multilingual Framework
Ibrahim Bouabdallaoui
Fatima Guerouate
Samya Bouhaddour
C. Saadi
Mohammed Sbihi
44
0
0
04 Feb 2025
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
Z. Chen
Quoc V. Le
Mohammad Norouzi
...
Alex Rudnick
Oriol Vinyals
G. Corrado
Macduff Hughes
J. Dean
AIMat
718
6,748
0
26 Sep 2016
1