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Evaluating historical text normalization systems: How well do they
  generalize?
v1v2 (latest)

Evaluating historical text normalization systems: How well do they generalize?

7 April 2018
Alexander Robertson
Sharon Goldwater
    AI4TS
ArXiv (abs)PDFHTML

Papers citing "Evaluating historical text normalization systems: How well do they generalize?"

8 / 8 papers shown
Title
Natural Language Processing RELIES on Linguistics
Natural Language Processing RELIES on Linguistics
Juri Opitz
Shira Wein
Nathan Schneider
AI4CE
151
8
0
09 May 2024
Multilingual Event Extraction from Historical Newspaper Adverts
Multilingual Event Extraction from Historical Newspaper Adverts
Nadav Borenstein
N. Perez
Isabelle Augenstein
64
4
0
18 May 2023
Dealing with Abbreviations in the Slovenian Biographical Lexicon
Dealing with Abbreviations in the Slovenian Biographical Lexicon
Angel Daza
Antske Fokkens
T. Erjavec
45
0
0
04 Nov 2022
State-of-the-art generalisation research in NLP: A taxonomy and review
State-of-the-art generalisation research in NLP: A taxonomy and review
Dieuwke Hupkes
Mario Giulianelli
Verna Dankers
Mikel Artetxe
Yanai Elazar
...
Leila Khalatbari
Maria Ryskina
Rita Frieske
Ryan Cotterell
Zhijing Jin
268
99
0
06 Oct 2022
Computational Morphology with Neural Network Approaches
Computational Morphology with Neural Network Approaches
Ling Liu
AI4CE
95
8
0
19 May 2021
Unsupervised Domain Adaptation of Contextualized Embeddings for Sequence
  Labeling
Unsupervised Domain Adaptation of Contextualized Embeddings for Sequence Labeling
Xiaochuang Han
Jacob Eisenstein
58
20
0
04 Apr 2019
A Large-Scale Comparison of Historical Text Normalization Systems
A Large-Scale Comparison of Historical Text Normalization Systems
Marcel Bollmann
AI4TS
57
77
0
03 Apr 2019
Imitation Learning for Neural Morphological String Transduction
Imitation Learning for Neural Morphological String Transduction
Peter Makarov
Simon Clematide
AI4CE
68
34
0
31 Aug 2018
1