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Cross-lingual topic models have been prevalent for cross-lingual text analysis by revealing aligned latent topics.
Latent dirichlet allocation
Blei, D. M.; Ng, A. Y.; and Jordan, M. I. 2003 · 2003
Earlier work this paper cites.
Cross-lingual contextualized topic models with zero-shot learning
Bianchi, F.; Terragni, S.; Hovy, D.; Nozza, D.; and Fersini, E. 2020 · 2004
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Europarl: A parallel corpus for statistical machine translation
Koehn, P. 2005 · 2005
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Dynamic topic models
Blei, D. M.; and Lafferty, J. D. 2006 · 2006
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InfoXLM: An information-theoretic framework for cross-lingual language model pre-training
Chi, Z.; Dong, L.; Wei, F.; Yang, N.; Singhal, S.; Wang, W.; Song, X.; Mao, X.-L.; Huang, H.; and Zhou, M. 2020 · 2007
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Visualizing data using t-SNE
van der Maaten, L.; and Hinton, G. 2008 · 2008
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Reading tea leaves: How humans interpret topic models
Chang, J.; Gerrish, S.; Wang, C.; Boyd-Graber, J. L.; and Blei, D. M. 2009 · 2009
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Polylingual topic models
Mimno, D.; Wallach, H.; Naradowsky, J.; Smith, D. A.; and McCallum, A. 2009 · 2009
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Mining multilingual topics from Wikipedia
Ni, X.; Sun, J.-T.; Hu, J.; and Chen, Z. 2009 · 2009
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Extracting multilingual topics from unaligned comparable corpora
Jagarlamudi, J.; and Daumé, H. 2010 · 2010
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Automatic evaluation of topic coherence
Newman, D.; Lau, J. H.; Grieser, K.; and Baldwin, T. 2010 · 2010
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Multilingual topic models for unaligned text
Boyd-Graber, J.; and Blei, D. 2012 · 2012
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Efficient Estimation of Word Representations in Vector Space
Mikolov, T.; Chen, K.; Corrado, G. S.; and Dean, J. 2013 · 2013
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Cross-language information retrieval models based on latent topic models trained with document-aligned comparable corpora
Vulić, I.; De Smet, W.; and Moens, M.-F. 2013 · 2013
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Auto-encoding variational bayes
Kingma, D. P.; and Welling, M. 2014 · 2014
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Detecting cross-cultural differences using a multilingual topic model
Gutiérrez, E. D.; Shutova, E.; Lichtenstein, P.; de Melo, G.; and Gilardi, L. 2016 · 2016
Earlier work this paper cites.
Neural variational inference for text processing
Miao, Y.; Yu, L.; and Blunsom, P. 2016 · 2016
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Detecting common discussion topics across culture from news reader comments
Shi, B.; Lam, W.; Bing, L.; and Xu, Y. 2016 · 2016
Cited alongside, same era.
Word Translation Without Parallel Data
Conneau, A.; Lample, G.; Ranzato, M.; Denoyer, L.; and Jégou, H. 2017 · 2017
Cited alongside, same era.
Autoencoding variational inference for topic models
Srivastava, A.; and Sutton, C. 2017 · 2017
Cited alongside, same era.
Which encoding is the best for text classification in Chinese, English, Japanese and Korean?
Zhang, X.; and LeCun, Y. 2017 · 2017
Cited alongside, same era.
Bert: Pre-training of deep bidirectional transformers for language understanding
Devlin, J.; Chang, M.-W.; Lee, K.; and Toutanova, K. 2018 · 2018
Cited alongside, same era.
Short Text Topic Modeling with Flexible Word Patterns
Wu, X.; and Li, C. 2019 · 2019
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A multilingual topic model for learning weighted topic links across corpora with low comparability
Yang, W.; Boyd-Graber, J.; and Resnik, P. 2019 · 2019
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A simple framework for contrastive learning of visual representations
Chen, T.; Kornblith, S.; Norouzi, M.; and Hinton, G. 2020 · 2020
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An empirical study on crosslingual transfer in probabilistic topic models
Hao, S.; and Paul, M. J. 2020 · 2020
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A Mutual Information Maximization Perspective of Language Representation Learning
Kong, L.; de Masson d’Autume, C.; Yu, L.; Ling, W.; Dai, Z.; and Yogatama, D. 2020 · 2020
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Contrastive multiview coding
Tian, Y.; Krishnan, D.; and Isola, P. 2020 · 2020
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Lessons from the bible on modern topics: adapting topic model evaluation to multilingual and low-resource settings
Hao, S.; Boyd-Graber, J. L.; and Paul, M. J. 2018 · 2018
Cited alongside, same era.
Learning multilingual topics from incomparable corpora
Hao, S.; and Paul, M. 2018 · 2018
Cited alongside, same era.
An efficient framework for learning sentence representations
Logeswaran, L.; and Lee, H. 2018 · 2018
Cited alongside, same era.
Representation learning with contrastive predictive coding
Van den Oord, A.; Li, Y.; and Vinyals, O. 2018 · 2018
Cited alongside, same era.
Unsupervised feature learning via non-parametric instance discrimination
Wu, Z.; Xiong, Y.; Yu, S. X.; and Lin, D. 2018 · 2018
Cited alongside, same era.
Multilingual anchoring: Interactive topic modeling and alignment across languages
Yuan, M.; Van Durme, B.; and Ying, J. L. 2018 · 2018
Cited alongside, same era.
A theoretical analysis of contrastive unsupervised representation learning
Arora, S.; Khandeparkar, H.; Khodak, M.; Plevrakis, O.; and Saunshi, N. 2019 · 2019
Cited alongside, same era.
Later among the works it cites.
Understanding contrastive representation learning through alignment and uniformity on the hypersphere
Wang, T.; and Isola, P. 2020 · 2020
Later among the works it cites.
Short Text Topic Modeling with Topic Distribution Quantization and Negative Sampling Decoder
Wu, X.; Li, C.; Zhu, Y.; and Miao, Y. 2020b · 2020
Later among the works it cites.
A word embedding-based approach to cross-lingual topic modeling
Chang, C.-H.; and Hwang, S.-Y. 2021 · 2021
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How Should Pre-Trained Language Models Be Fine-Tuned Towards Adversarial Robustness?
Dong, X.; Luu, A. T.; Lin, M.; Yan, S.; and Zhang, H. 2021 · 2021
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Fine-tuning Encoders for Improved Monolingual and Zero-shot Polylingual Neural Topic Modeling
Mueller, A.; and Dredze, M. 2021 · 2021
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Discovering Topics in Long-tailed Corpora with Causal Intervention
Wu, X.; Li, C.; and Miao, Y. 2021 · 2021
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Adaptive Contrastive Learning on Multimodal Transformer for Review Helpfulness Predictions
Nguyen, T.; Wu, X.; Luu, A.-T.; Nguyen, C.-D.; Hai, Z.; and Bing, L. 2022 · 2022
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Neural Topic Modeling with Embedding Clustering Regularization
Wu, X.; Dong, X.; Nguyen, T. T.; and Luu, A. T. 2022 · 2022
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Mitigating Data Sparsity for Short Text Topic Modeling by Topic-Semantic Contrastive Learning
Wu, X.; Luu, A. T.; and Dong, X. 2022 · 2022
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Neural Topic Modeling with Deep Mutual Information Estimation
Xu, K.; Lu, X.; Li, Y.-f.; Wu, T.; Qi, G.; Ye, N.; Wang, D.; and Zhou, Z. 2022 · 2022
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