Bibliography – Natural Language Processing

Selected DH research and resources bearing on, or utilized by, the WE1S project.
(all) Distant Reading | Cultural Analytics | | Sociocultural Approaches | Topic Modeling in DH | Non-consumptive Use

Rogers, Anna, Olga Kovaleva, and Anna Rumshisky. “A Primer in BERTology: What We Know about How BERT Works.” ArXiv:2002.12327 [Cs], 2020. Cite
Ahmed, Hadeer, Issa Traore, and Sherif Saad. “Detection of Online Fake News Using N-Gram Analysis and Machine Learning Techniques.” In Intelligent, Secure, and Dependable Systems in Distributed and Cloud Environments, edited by Issa Traore, Isaac Woungang, and Ahmed Awad, 127–38. Lecture Notes in Computer Science. Cham: Springer International Publishing, 2017. Cite
Conroy, Niall J., Victoria L. Rubin, and Yimin Chen. “Automatic Deception Detection: Methods for Finding Fake News: Automatic Deception Detection: Methods for Finding Fake News.” Proceedings of the Association for Information Science and Technology 52, no. 1 (2015): 1–4. Cite
Mimno, David, and David Blei. “Bayesian Checking for Topic Models.” In Proceedings of the Conference on Empirical Methods in Natural Language Processing, 227–37. Association for Computational Linguistics, 2011. Cite
Ratinov, Lev, Dan Roth, Doug Downey, and Mike Anderson. “Local and Global Algorithms for Disambiguation to Wikipedia,” 1375–84, 2011. 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. Cite