ResearchTrend.AI
  • Papers
  • Communities
  • Events
  • Blog
  • Pricing
Papers
Communities
Social Events
Terms and Conditions
Pricing
Parameter LabParameter LabTwitterGitHubLinkedInBlueskyYoutube

© 2025 ResearchTrend.AI, All rights reserved.

  1. Home
  2. Papers
  3. 1910.00896
  4. Cited By
The merits of Universal Language Model Fine-tuning for Small Datasets --
  a case with Dutch book reviews

The merits of Universal Language Model Fine-tuning for Small Datasets -- a case with Dutch book reviews

2 October 2019
Benjamin van der Burgh
Suzan Verberne
    VLM
ArXivPDFHTML

Papers citing "The merits of Universal Language Model Fine-tuning for Small Datasets -- a case with Dutch book reviews"

16 / 16 papers shown
Title
Translating the Grievance Dictionary: a psychometric evaluation of Dutch, German, and Italian versions
Translating the Grievance Dictionary: a psychometric evaluation of Dutch, German, and Italian versions
Isabelle van der Vegt
Bennett Kleinberg
Marilù Miotto
Jonas Festor
AILaw
36
0
0
12 May 2025
Tik-to-Tok: Translating Language Models One Token at a Time: An
  Embedding Initialization Strategy for Efficient Language Adaptation
Tik-to-Tok: Translating Language Models One Token at a Time: An Embedding Initialization Strategy for Efficient Language Adaptation
François Remy
Pieter Delobelle
Bettina Berendt
Kris Demuynck
Thomas Demeester
42
3
0
05 Oct 2023
DUMB: A Benchmark for Smart Evaluation of Dutch Models
DUMB: A Benchmark for Smart Evaluation of Dutch Models
Wietse de Vries
Martijn B. Wieling
Malvina Nissim
ELM
ALM
MoE
41
6
0
22 May 2023
Connecting Humanities and Social Sciences: Applying Language and Speech
  Technology to Online Panel Surveys
Connecting Humanities and Social Sciences: Applying Language and Speech Technology to Online Panel Surveys
H. V. D. Heuvel
M. Bentum
Simone Wills
J. Koops
6
0
0
21 Feb 2023
RobBERT-2022: Updating a Dutch Language Model to Account for Evolving
  Language Use
RobBERT-2022: Updating a Dutch Language Model to Account for Evolving Language Use
Pieter Delobelle
Thomas Winters
Bettina Berendt
35
6
0
15 Nov 2022
FairDistillation: Mitigating Stereotyping in Language Models
FairDistillation: Mitigating Stereotyping in Language Models
Pieter Delobelle
Bettina Berendt
31
8
0
10 Jul 2022
Machine Learning for Violence Risk Assessment Using Dutch Clinical Notes
Machine Learning for Violence Risk Assessment Using Dutch Clinical Notes
P. Mosteiro
Emil Rijcken
Kalliopi Zervanou
U. Kaymak
Floortje E. Scheepers
Marco Spruit
40
13
0
28 Apr 2022
RobBERTje: a Distilled Dutch BERT Model
RobBERTje: a Distilled Dutch BERT Model
Pieter Delobelle
Thomas Winters
Bettina Berendt
35
14
0
28 Apr 2022
Discontinuous Constituency and BERT: A Case Study of Dutch
Discontinuous Constituency and BERT: A Case Study of Dutch
Konstantinos Kogkalidis
G. Wijnholds
34
6
0
02 Mar 2022
belabBERT: a Dutch RoBERTa-based language model applied to psychiatric
  classification
belabBERT: a Dutch RoBERTa-based language model applied to psychiatric classification
J. Wouts
J. D. Boer
A. Voppel
S. Brederoo
S. V. Splunter
I. Sommer
24
4
0
02 Jun 2021
Improving BERT Pretraining with Syntactic Supervision
Improving BERT Pretraining with Syntactic Supervision
Georgios Tziafas
Konstantinos Kogkalidis
G. Wijnholds
M. Moortgat
51
3
0
21 Apr 2021
SICKNL: A Dataset for Dutch Natural Language Inference
SICKNL: A Dataset for Dutch Natural Language Inference
G. Wijnholds
M. Moortgat
27
25
0
14 Jan 2021
Evaluating Bias In Dutch Word Embeddings
Evaluating Bias In Dutch Word Embeddings
Rodrigo Alejandro Chávez Mulsa
Gerasimos Spanakis
18
20
0
31 Oct 2020
RobBERT: a Dutch RoBERTa-based Language Model
RobBERT: a Dutch RoBERTa-based Language Model
Pieter Delobelle
Thomas Winters
Bettina Berendt
18
235
0
17 Jan 2020
BERTje: A Dutch BERT Model
BERTje: A Dutch BERT Model
Wietse de Vries
Andreas van Cranenburgh
Arianna Bisazza
Tommaso Caselli
Gertjan van Noord
Malvina Nissim
VLM
SSeg
34
291
0
19 Dec 2019
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
210
1,020
0
26 Mar 2018
1