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Toward Building a Legal Knowledge-Base of Chinese Judicial Documents for Large-Scale Analytics.

A. Gupta, A. Wang, K. Lin, H. Hong, H. Sun, B. Liebman, R. Stern, S. Dasgupta, и M. Roberts. JURIX, том 302 из Frontiers in Artificial Intelligence and Applications, стр. 135-144. IOS Press, (2017)

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Algorithmic Censoring in Dynamic Learning Systems.J. Chien, M. Roberts, и B. Ustun. EAAMO, стр. 26:1-26:20. ACM, (2023)TopicCheck: Interactive Alignment for Assessing Topic Model Stability.J. Chuang, M. Roberts, B. Stewart, R. Weiss, D. Tingley, J. Grimmer, и J. Heer. HLT-NAACL, стр. 175-184. The Association for Computational Linguistics, (2015)How Robust Standard Errors Expose Methodological Problems They Do Not Fix, and What to Do About ItG. King, и M. Roberts. Political Analysis, (2014)Discovering influential text using convolutional neural networks.M. Ayers, L. Sanford, M. Roberts, и E. Yang. ACL (Findings), стр. 12002-12027. Association for Computational Linguistics, (2024)Destination Unreachable: Characterizing Internet Outages and Shutdowns.Z. Bischof, K. Pitcher, E. Carisimo, A. Meng, R. Nunes, R. Padmanabhan, M. Roberts, A. Snoeren, и A. Dainotti. SIGCOMM, стр. 608-621. ACM, (2023)How to Make Causal Inferences Using Texts.N. Egami, C. Fong, J. Grimmer, M. Roberts, и B. Stewart. CoRR, (2018)Toward Building a Legal Knowledge-Base of Chinese Judicial Documents for Large-Scale Analytics.A. Gupta, A. Wang, K. Lin, H. Hong, H. Sun, B. Liebman, R. Stern, S. Dasgupta, и M. Roberts. JURIX, том 302 из Frontiers in Artificial Intelligence and Applications, стр. 135-144. IOS Press, (2017)Causal Inference in Natural Language Processing: Estimation, Prediction, Interpretation and Beyond.A. Feder, K. Keith, E. Manzoor, R. Pryzant, D. Sridhar, Z. Wood-Doughty, J. Eisenstein, J. Grimmer, R. Reichart, M. Roberts и 3 other автор(ы). Trans. Assoc. Comput. Linguistics, (2022)On the Influence of Social Bots in Online Protests - Preliminary Findings of a Mexican Case Study.P. Suárez-Serrato, M. Roberts, C. Davis, и F. Menczer. SocInfo (2), том 10047 из Lecture Notes in Computer Science, стр. 269-278. (2016)Causal Inference in Natural Language Processing: Estimation, Prediction, Interpretation and Beyond.A. Feder, K. Keith, E. Manzoor, R. Pryzant, D. Sridhar, Z. Wood-Doughty, J. Eisenstein, J. Grimmer, R. Reichart, M. Roberts и 3 other автор(ы). CoRR, (2021)

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