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Cross-lingual adaptation with multilingual pre-trained language models (mPTLMs) mainly consists of two lines of works: zero-shot approach and translation-based approach, which have been studied extensively on the sequence-level tasks.
Unsupervised data augmentation for consistency training
Qizhe Xie, Zihang Dai, Eduard Hovy, Minh-Thang Luong, and Quoc V Le. 2019 · 1904
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Roberta: A robustly optimized bert pretraining approach
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On the cross-lingual transferability of monolingual representations
Mikel Artetxe, Sebastian Ruder, and Dani Yogatama. 2019 · 1910
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Mlqa: Evaluating cross-lingual extractive question answering
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Transformers: State-of-the-art natural language processing
Thomas Wolf, Lysandre Debut, Victor Sanh, Julien Chaumond, Clement Delangue, Anthony Moi, Pierric Cistac, Tim Rault, Rémi Louf, Morgan Funtowicz, et al. 2019 · 1910
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Enhanced meta-learning for cross-lingual named entity recognition with minimal resources
Qianhui Wu, Zijia Lin, Guoxin Wang, Hui Chen, Börje F Karlsson, Biqing Huang, and Chin-Yew Lin. 2019 · 1911
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Improved backing-off for m-gram language modeling
Reinhard Kneser and Hermann Ney. 1995 · 1995
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Multitask learning
Rich Caruana. 1997 · 1997
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Long short-term memory
Sepp Hochreiter and Jürgen Schmidhuber. 1997 · 1997
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Representing text chunks
Erik F. Tjong, Kim Sang, and Jorn Veenstra. 1999 · 1999
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Inducing multilingual text analysis tools via robust projection across aligned corpora
David Yarowsky, Grace Ngai, and Richard Wicentowski. 2001 · 2001
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Introduction to the CoNLL-2002 shared task: Language-independent named entity recognition
Erik F. Tjong Kim Sang. 2002 · 2002
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A neural probabilistic language model
Yoshua Bengio, Réjean Ducharme, Pascal Vincent, and Christian Jauvin. 2003 · 2003
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Xtreme: A massively multilingual multi-task benchmark for evaluating cross-lingual generalization
Junjie Hu, Sebastian Ruder, Aditya Siddhant, Graham Neubig, Orhan Firat, and Melvin Johnson. 2020 · 2003
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A systematic comparison of various statistical alignment models
Franz Josef Och and Hermann Ney. 2003 · 2003
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Stanza: A python natural language processing toolkit for many human languages
Peng Qi, Yuhao Zhang, Yuhui Zhang, Jason Bolton, and Christopher D Manning. 2020 · 2003
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Introduction to the CoNLL-2003 shared task: Language-independent named entity recognition
Erik F. Tjong Kim Sang and Fien De Meulder. 2003 · 2003
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Cross-lingual semantic role labeling with high-quality translated training corpus
Hao Fei, Meishan Zhang, and Donghong Ji. 2020b · 2004
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Multimix: A robust data augmentation strategy for cross-lingual nlp
M Saiful Bari, Muhammad Tasnim Mohiuddin, and Shafiq Joty. 2020 · 2004
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The proposition bank: An annotated corpus of semantic roles
Martha Palmer, Daniel Gildea, and Paul Kingsbury. 2005 · 2005
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Multilingual subjectivity analysis using machine translation
Carmen Banea, Rada Mihalcea, Janyce Wiebe, and Samer Hassan. 2008 · 2008
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Adding more languages improves unsupervised multilingual part-of-speech tagging: a Bayesian non-parametric approach
Benjamin Snyder, Tahira Naseem, Jacob Eisenstein, and Regina Barzilay. 2009 · 2009
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Cross-language text classification using structural correspondence learning
Peter Prettenhofer and Benno Stein. 2010 · 2010
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Unsupervised part-of-speech tagging with bilingual graph-based projections
Dipanjan Das and Slav Petrov. 2011 · 2011
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Is machine translation ripe for cross-lingual sentiment classification?
Kevin Duh, Akinori Fujino, and Masaaki Nagata. 2011 · 2011
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Cross-lingual word clusters for direct transfer of linguistic structure
Oscar Täckström, Ryan McDonald, and Jakob Uszkoreit. 2012 · 2012
Cited alongside, same era.
A simple, fast, and effective reparameterization of IBM model 2
Chris Dyer, Victor Chahuneau, and Noah A. Smith. 2013 · 2013
Cited alongside, same era.
Exploiting similarities among languages for machine translation
Tomas Mikolov, Quoc V Le, and Ilya Sutskever. 2013 · 2013
Cited alongside, same era.
Open domain targeted sentiment
Margaret Mitchell, Jacqui Aguilar, Theresa Wilson, and Benjamin Van Durme. 2013 · 2013
Cited alongside, same era.
Improving vector space word representations using multilingual correlation
Manaal Faruqui and Chris Dyer. 2014 · 2014
Cited alongside, same era.
Towards better UD parsing: Deep contextualized word embeddings, ensemble, and treebank concatenation
Wanxiang Che, Yijia Liu, Yuxuan Wang, Bo Zheng, and Ting Liu. 2018 · 2018
Later among the works it cites.
XNLI: Evaluating cross-lingual sentence representations
Alexis Conneau, Ruty Rinott, Guillaume Lample, Adina Williams, Samuel Bowman, Holger Schwenk, and Veselin Stoyanov. 2018 · 2018
Later among the works it cites.
Deep contextualized word representations
Matthew Peters, Mark Neumann, Mohit Iyyer, Matt Gardner, Christopher Clark, Kenton Lee, and Luke Zettlemoyer. 2018 · 2018
Later among the works it cites.
Improving language understanding by generative pre-training
Alec Radford, Karthik Narasimhan, Tim Salimans, and Ilya Sutskever. 2018 · 2018
Later among the works it cites.
A corpus for multilingual document classification in eight languages
Holger Schwenk and Xian Li. 2018 · 2018
Later among the works it cites.
Neural cross-lingual named entity recognition with minimal resources
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Diederik P Kingma and Jimmy Ba. 2014 · 2014
Cited alongside, same era.
Treebank translation for cross-lingual parser induction
Jörg Tiedemann, Željko Agić, and Joakim Nivre. 2014 · 2014
Cited alongside, same era.
Generating high quality proposition Banks for multilingual semantic role labeling
Alan Akbik, Laura Chiticariu, Marina Danilevsky, Yunyao Li, Shivakumar Vaithyanathan, and Huaiyu Zhu. 2015 · 2015
Cited alongside, same era.
Aspect-level cross-lingual sentiment classification with constrained SMT
Patrik Lambert. 2015 · 2015
Cited alongside, same era.
Neural networks for open domain targeted sentiment
Meishan Zhang, Yue Zhang, and Duy-Tin Vo. 2015 · 2015
Cited alongside, same era.
Many languages, one parser
Waleed Ammar, George Mulcaire, Miguel Ballesteros, Chris Dyer, and Noah A. Smith. 2016 · 2016
Cited alongside, same era.
Phonologically aware neural model for named entity recognition in low resource transfer settings
Akash Bharadwaj, David Mortensen, Chris Dyer, and Jaime Carbonell. 2016 · 2016
Cited alongside, same era.
Jiateng Xie, Zhilin Yang, Graham Neubig, Noah A. Smith, and Jaime Carbonell. 2018 · 2018
Later among the works it cites.
Fast and accurate reading comprehension by combining self-attention and convolution
Adams Wei Yu, David Dohan, Quoc Le, Thang Luong, Rui Zhao, and Kai Chen. 2018 · 2018
Later among the works it cites.
CoNLL 2018 shared task: Multilingual parsing from raw text to universal dependencies
Daniel Zeman, Jan Hajič, Martin Popel, Martin Potthast, Milan Straka, Filip Ginter, Joakim Nivre, and Slav Petrov. 2018 · 2018
Later among the works it cites.
Cross-lingual dependency parsing with unlabeled auxiliary languages
Wasi Uddin Ahmad, Zhisong Zhang, Xuezhe Ma, Kai-Wei Chang, and Nanyun Peng. 2019 · 2019
Later among the works it cites.
Massively multilingual sentence embeddings for zero-shot cross-lingual transfer and beyond
Mikel Artetxe and Holger Schwenk. 2019 · 2019
Later among the works it cites.
Cross-lingual language model pretraining
Alexis Conneau and Guillaume Lample. 2019 · 2019
Later among the works it cites.
BERT: Pre-training of deep bidirectional transformers for language understanding
Jacob Devlin, Ming-Wei Chang, Kenton Lee, and Kristina Toutanova. 2019 · 2019
Later among the works it cites.
MultiFiT: Efficient multi-lingual language model fine-tuning
Julian Eisenschlos, Sebastian Ruder, Piotr Czapla, Marcin Kadras, Sylvain Gugger, and Jeremy Howard. 2019 · 2019
Later among the works it cites.
Unicoder: A universal language encoder by pre-training with multiple cross-lingual tasks
Haoyang Huang, Yaobo Liang, Nan Duan, Ming Gong, Linjun Shou, Daxin Jiang, and Ming Zhou. 2019 · 2019
Later among the works it cites.
Adversarial learning with contextual embeddings for zero-resource cross-lingual classification and NER
Phillip Keung, Yichao Lu, and Vikas Bhardwaj. 2019 · 2019
Later among the works it cites.
Exploiting BERT for end-to-end aspect-based sentiment analysis
Xin Li, Lidong Bing, Wenxuan Zhang, and Wai Lam. 2019 · 2019
Later among the works it cites.
Polyglot contextual representations improve crosslingual transfer
Phoebe Mulcaire, Jungo Kasai, and Noah A. Smith. 2019 · 2019
Later among the works it cites.
How multilingual is multilingual BERT?
Telmo Pires, Eva Schlinger, and Dan Garrette. 2019 · 2019
Later among the works it cites.
Beto, bentz, becas: The surprising cross-lingual effectiveness of BERT
Shijie Wu and Mark Dredze. 2019 · 2019
Later among the works it cites.
Cross-lingual dependency parsing using code-mixed TreeBank
Meishan Zhang, Yue Zhang, and Guohong Fu. 2019 · 2019
Later among the works it cites.
Multilingual alignment of contextual word representations
Steven Cao, Nikita Kitaev, and Dan Klein. 2020 · 2020
Closest in time.
Unsupervised cross-lingual representation learning at scale
Alexis Conneau, Kartikay Khandelwal, Naman Goyal, Vishrav Chaudhary, Guillaume Wenzek, Francisco Guzmán, Edouard Grave, Myle Ott, Luke Zettlemoyer, and Veselin Stoyanov. 2020 · 2020
Closest in time.
Cross-lingual ability of multilingual bert: An empirical study
Karthikeyan K, Zihan Wang, Stephen Mayhew, and Dan Roth. 2020 · 2020
Closest in time.
Cross-lingual alignment vs joint training: A comparative study and a simple unified framework
Zirui Wang, Jiateng Xie, Ruochen Xu, Yiming Yang, Graham Neubig, and Jaime G. Carbonell. 2020 · 2020
Closest in time.