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hmBERT: Historical Multilingual Language Models for Named Entity
  Recognition

hmBERT: Historical Multilingual Language Models for Named Entity Recognition

31 May 2022
Stefan Schweter
Luisa März
Katharina Schmid
Erion cCano
ArXivPDFHTML

Papers citing "hmBERT: Historical Multilingual Language Models for Named Entity Recognition"

5 / 5 papers shown
Title
SwissBERT: The Multilingual Language Model for Switzerland
SwissBERT: The Multilingual Language Model for Switzerland
Jannis Vamvas
Johannes Graen
Rico Sennrich
25
6
0
23 Mar 2023
DAMO-NLP at SemEval-2022 Task 11: A Knowledge-based System for
  Multilingual Named Entity Recognition
DAMO-NLP at SemEval-2022 Task 11: A Knowledge-based System for Multilingual Named Entity Recognition
Xinyu Wang
Yongliang Shen
Jiong Cai
Tao Wang
Xiaobin Wang
...
Weiming Lu
Y. Zhuang
Kewei Tu
Wei Lu
Yong-jia Jiang
49
43
0
01 Mar 2022
How Good is Your Tokenizer? On the Monolingual Performance of
  Multilingual Language Models
How Good is Your Tokenizer? On the Monolingual Performance of Multilingual Language Models
Phillip Rust
Jonas Pfeiffer
Ivan Vulić
Sebastian Ruder
Iryna Gurevych
69
235
0
31 Dec 2020
A disciplined approach to neural network hyper-parameters: Part 1 --
  learning rate, batch size, momentum, and weight decay
A disciplined approach to neural network hyper-parameters: Part 1 -- learning rate, batch size, momentum, and weight decay
L. Smith
191
1,007
0
26 Mar 2018
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
716
6,724
0
26 Sep 2016
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