Clara Vania
Clara Vania
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Cited by
Cited by
From Characters to Words to in Between: Do We Capture Morphology?
C Vania, A Lopez
arXiv preprint arXiv:1704.08352, 2017
Intermediate-task transfer learning with pretrained models for natural language understanding: When and why does it work?
Y Pruksachatkun, J Phang, H Liu, PM Htut, X Zhang, RY Pang, C Vania, ...
arXiv preprint arXiv:2005.00628, 2020
Sentiment Lexicon Generation for an Under-Resourced Language
C Vania, M Ibrahim, M Adriani
Int. J. Comput. Linguistics Appl. 5 (1), 59-72, 2014
CrowS-pairs: A challenge dataset for measuring social biases in masked language models
N Nangia, C Vania, R Bhalerao, SR Bowman
arXiv preprint arXiv:2010.00133, 2020
Automatically building a corpus for sentiment analysis on indonesian tweets
AF Wicaksono, C Vania, B Distiawan, M Adriani
Proceedings of the 28th Pacific Asia Conference on Language, Information and …, 2014
English intermediate-task training improves zero-shot cross-lingual transfer too
J Phang, I Calixto, PM Htut, Y Pruksachatkun, H Liu, C Vania, K Kann, ...
arXiv preprint arXiv:2005.13013, 2020
A systematic comparison of methods for low-resource dependency parsing on genuinely low-resource languages
C Vania, Y Kementchedjhieva, A Sĝgaard, A Lopez
arXiv preprint arXiv:1909.02857, 2019
What do character-level models learn about morphology? The case of dependency parsing
C Vania, A Grivas, A Lopez
Proceedings of the 2018 Conference on Empirical Methods in Natural Language …, 2018
Multilingual Probing Tasks for Word Representations
G Gül Şahin, C Vania, I Kuznetsov, I Gurevych
Computational Linguistics, 1-92, 2020
University of Indonesia at TREC 2011 Microblog Task.
S Louvan, M Ibrahim, M Adriani, C Vania, B Distiawan, MZ Wanagiri
TREC, 2011
Automatic external plagiarism detection using passage similarities
C Vania, M Adriani
Braschler and Harman, 2010
Asking Crowdworkers to Write Entailment Examples: The Best of Bad options
C Vania, R Chen, SR Bowman
arXiv preprint arXiv:2010.06122, 2020
On understanding character-level models for representing morphology
C Vania
The University of Edinburgh, 2020
Uparse: the edinburgh system for the conll 2017 ud shared task
C Vania, X Zhang, A Lopez
Proceedings of the CoNLL 2017 Shared Task: Multilingual Parsing from Raw …, 2017
The effect of syllable and word stress on the quality of Indonesian HMM-based speech synthesis system
C Vania, M Adriani
2011 International Conference on Advanced Computer Science and Information …, 2011
What Ingredients Make for an Effective Crowdsourcing Protocol for Difficult NLU Data Collection Tasks?
N Nangia, S Sugawara, H Trivedi, A Warstadt, C Vania, SR Bowman
arXiv preprint arXiv:2106.00794, 2021
Explicitly modeling case improves neural dependency parsing
C Vania, A Lopez
Proceedings of the 2018 EMNLP Workshop BlackboxNLP: Analyzing and …, 2018
Comparing test sets with item response theory
C Vania, PM Htut, W Huang, D Mungra, RY Pang, J Phang, H Liu, K Cho, ...
arXiv preprint arXiv:2106.00840, 2021
VisualSem: a high-quality knowledge graph for vision and language
H Alberts, T Huang, Y Deshpande, Y Liu, K Cho, C Vania, I Calixto
arXiv preprint arXiv:2008.09150, 2020
What Ingredients Make for an Effective Crowdsourcing Protocol for Difficult NLU Data Collection Tasks? Download PDF
N Nangia, S Sugawara, H Trivedi, A Warstadt, C Vania, SR Bowman
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