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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"

10 / 10 papers shown
Title
Investigating OCR-Sensitive Neurons to Improve Entity Recognition in
  Historical Documents
Investigating OCR-Sensitive Neurons to Improve Entity Recognition in Historical Documents
Emanuela Boros
Maud Ehrmann
31
0
0
25 Sep 2024
Transfer Learning across Several Centuries: Machine and Historian
  Integrated Method to Decipher Royal Secretary's Diary
Transfer Learning across Several Centuries: Machine and Historian Integrated Method to Decipher Royal Secretary's Diary
Sojung Lucia Kim
Tae Young Jang
Joonmo Ahn
Hyungi Lee
Jaehyuk Lee
13
1
0
26 Jun 2023
Yes but.. Can ChatGPT Identify Entities in Historical Documents?
Yes but.. Can ChatGPT Identify Entities in Historical Documents?
Carlos-Emiliano González-Gallardo
Emanuela Boros
Nancy Girdhar
Ahmed Hamdi
Jose G. Moreno
Antoine Doucet
19
15
0
30 Mar 2023
SwissBERT: The Multilingual Language Model for Switzerland
SwissBERT: The Multilingual Language Model for Switzerland
Jannis Vamvas
Johannes Graen
Rico Sennrich
33
6
0
23 Mar 2023
Metadata Might Make Language Models Better
Metadata Might Make Language Models Better
K. Beelen
Daniel Alexander van Strien
AI4CE
30
0
0
18 Nov 2022
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
68
43
0
01 Mar 2022
Named Entity Recognition and Classification on Historical Documents: A
  Survey
Named Entity Recognition and Classification on Historical Documents: A Survey
Maud Ehrmann
Ahmed Hamdi
Elvys Linhares Pontes
Matteo Romanello
A. Doucet
55
108
0
23 Sep 2021
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
202
1,019
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
6,743
0
26 Sep 2016
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