Bibliography – Topic Model (Multilingual)

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Data Science & Machine Learning (see also Topic Modeling) (all)
Artificial Intelligence | Big Data | Data Mining | Data Visualization (see also Topic Model Visualizations) | Hierarchical Clustering | Interpretation & Interpretability (see also Topic Model Interpretation) | Mapping | Natural Language Processing | Network Analysis | Sentiment Analysis | Statistical Methods | Text Analysis (see also Topic Modeling)Wikification | Word Embedding & Vector Semantics
Digital Humanities (all) (selected resources related to WE1S methods or issues; some items also included under "Data Science and Machine Learning" and "Topic Modeling")
Cultural & Social Approaches in DH | Distant Reading | Topic Modeling in DH

Hao, Shudong, and Michael J. Paul. “An Empirical Study on Crosslingual Transfer in Probabilistic Topic Models.” arXiv, 2019. https://www.semanticscholar.org/paper/An-Empirical-Study-on-Crosslingual-Transfer-in-Hao-Paul/958506be9d5789b48ab89e95b29f56701d45e46a. Cite
Gutiérrez, E. D., Ekaterina Shutova, Patricia Lichtenstein, Gerard de Melo, and Luca Gilardi. “Detecting Cross-Cultural Differences Using a Multilingual Topic Model.” Transactions of the Association for Computational Linguistics 4 (2016): 47–60. https://tacl2013.cs.columbia.edu/ojs/index.php/tacl/article/view/755. Cite
Vulić, Ivan, Wim De Smet, Jie Tang, and Marie-Francine Moens. “Probabilistic Topic Modeling in Multilingual Settings: An Overview of Its Methodology and Applications.” Information Processing & Management 51, no. 1 (2015): 111–147. http://keg.cs.tsinghua.edu.cn/jietang/publications/ipm15-xLiTe-IvanVulic-overview-topic-model-multilingual.pdf. Cite
Moens, Marie-Francine, and Ivan Vulić. “Monolingual and Cross-Lingual Probabilistic Topic Models and Their Applications in Information Retrieval.” In Advances in Information Retrieval, edited by David Hutchison, Takeo Kanade, Josef Kittler, Jon M. Kleinberg, Friedemann Mattern, John C. Mitchell, Moni Naor, et al., 7814:874–877. Berlin, Heidelberg: Springer Berlin Heidelberg, 2013. https://doi.org/10.1007/978-3-642-36973-5_106. Cite
Jagarlamudi, Jagadeesh, and Hal Daumé. “Extracting Multilingual Topics from Unaligned Comparable Corpora.” In Proceedings of the 32Nd European Conference on Advances in Information Retrieval, 444–456. ECIR’2010. Berlin, Heidelberg: Springer-Verlag, 2010. https://doi.org/10.1007/978-3-642-12275-0_39. Cite
Boyd-Graber, Jordan, and Philip Resnik. “Holistic Sentiment Analysis across Languages: Multilingual Supervised Latent Dirichlet Allocation.” In Proceedings of the 2010 Conference on Empirical Methods in Natural Language Processing, 45–55. Association for Computational Linguistics, 2010. http://www.aclweb.org/anthology/D10-1005. Cite
Mimno, David, Hanna M. Wallach, Jason Naradowsky, David A. Smith, and Andrew McCallum. “Polylingual Topic Models.” In Proceedings of the 2009 Conference on Empirical Methods in Natural Language Processing: Volume 2 - Volume 2, 880–889. EMNLP ’09. Stroudsburg, PA, USA: Association for Computational Linguistics, 2009. http://dl.acm.org/citation.cfm?id=1699571.1699627. Cite
Boyd-Graber, Jordan, and David M. Blei. “Multilingual Topic Models for Unaligned Text.” In Proceedings of the Twenty-Fifth Conference on Uncertainty in Artificial Intelligence, 75–82. AUAI Press, 2009. https://arxiv.org/pdf/1205.2657. Cite
Larkey, Leah S., Fangfang Feng, Margaret Connell, and Victor Lavrenko. “Language-Specific Models in Multilingual Topic Tracking.” In Proceedings of the 27th Annual International ACM SIGIR Conference on Research and Development in Information Retrieval, 402–409. SIGIR ’04. New York, NY, USA: ACM, 2004. https://doi.org/10.1145/1008992.1009061. Cite