IR-1232: (2020) Kim, Y., Jang, M. and Allan, J., "Explaining Text Matching on Neural Natural Language Inference," in ACM Transactions on Information Systems 38, 4 (October 2020), 23 pages. [View Abstract] [View bibtex]
IR-1204: (2019) Jang, M., "Probabilistic Models for Identifying and Explaining Controversy ," PhD thesis, University of Massachusetts Amherst, May 2019. [View Abstract] [View bibtex]
IR-1136: (2018) Jang, M. and Allan, J., "Explaining Controversy via Stance Summarization," in The Proceedings ofthe 41st International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR '18) Ann Arbor, Michigan, USA, July 8-12, 2018, pp. 1221-1224. [View Abstract] [View bibtex]
IR-1105: (2017) Jang, M., Dori-Hacohen, S. and Allan, J., "Modeling Controversy Within Populations," in the Proceedings of the International Conference on the Theory of Information Retrieval,(ICTIR’17), Amsterdam, NL, October 1-4, 2017, pp. 141-149. [View Abstract] [View bibtex]
IR-1068: (2016) Jang, M., Foley, J., Dori-Hacohen, S. and Allan, J., "Probabilistic Approaches to Controversy Detection," in the Proceedings of the 25th ACM International Conference on Information and Knowledge Management (CIKM 2016), Indianapolis, United States, October 24-28, 2016, pp. 2069-2072. [View Abstract] [View bibtex]
IR-1061: (2016) Jang, M. and Allan, J., "Improving Automated Controversy Detection on the Web," Proceedings of The International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR’16), Pisa, Italy, July 17-21, 2016, pp. 865-868. [View Abstract] [View bibtex]
IR-1014: (2014) Jang, M., Allan, J. and Choi, J., "Identification of Non-textual Components in Technical Documents," presented as a workshop at The 3rd Workshop on Noisy User-generated Text (W-NUT) at EMNLP, Copenhagen, Denmark, Sept. 7-11, 2017. [View Abstract] [View bibtex]