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Are pre-trained text representations useful for multilingual and
  multi-dimensional language proficiency modeling?

Are pre-trained text representations useful for multilingual and multi-dimensional language proficiency modeling?

25 February 2021
Taraka Rama
Sowmya Vajjala
ArXiv (abs)PDFHTMLGithub (1★)

Papers citing "Are pre-trained text representations useful for multilingual and multi-dimensional language proficiency modeling?"

7 / 7 papers shown
Title
A Systematic Analysis of Morphological Content in BERT Models for
  Multiple Languages
A Systematic Analysis of Morphological Content in BERT Models for Multiple Languages
Daniel Edmiston
51
32
0
06 Apr 2020
Automated Essay Scoring based on Two-Stage Learning
Automated Essay Scoring based on Two-Stage Learning
Jiawei Liu
Yang Xu
Yaguang Zhu
31
61
0
23 Jan 2019
Massively Multilingual Sentence Embeddings for Zero-Shot Cross-Lingual
  Transfer and Beyond
Massively Multilingual Sentence Embeddings for Zero-Shot Cross-Lingual Transfer and Beyond
Mikel Artetxe
Holger Schwenk
3DV
156
1,017
0
26 Dec 2018
BERT: Pre-training of Deep Bidirectional Transformers for Language
  Understanding
BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding
Jacob Devlin
Ming-Wei Chang
Kenton Lee
Kristina Toutanova
VLMSSLSSeg
1.8K
95,229
0
11 Oct 2018
Experiments with Universal CEFR Classification
Experiments with Universal CEFR Classification
Sowmya Vajjala
Taraka Rama
56
35
0
18 Apr 2018
Neural Multi-task Learning in Automated Assessment
Neural Multi-task Learning in Automated Assessment
Ronan Cummins
Marek Rei
50
22
0
21 Jan 2018
Automatic Text Scoring Using Neural Networks
Automatic Text Scoring Using Neural Networks
Dimitrios Alikaniotis
H. Yannakoudakis
Marek Rei
65
258
0
14 Jun 2016
1