Using the Complexity of the Distribution of Lexical Elements as a Feature in Authorship Attribution
暂无分享,去创建一个
[1] Ming Li,et al. An Introduction to Kolmogorov Complexity and Its Applications , 2019, Texts in Computer Science.
[2] Hinrich Schütze,et al. Book Reviews: Foundations of Statistical Natural Language Processing , 1999, CL.
[3] Fuchun Peng,et al. N-GRAM-BASED AUTHOR PROFILES FOR AUTHORSHIP ATTRIBUTION , 2003 .
[4] Shlomo Argamon,et al. Authorship attribution with thousands of candidate authors , 2006, SIGIR.
[5] Shlomo Argamon,et al. Effects of Age and Gender on Blogging , 2006, AAAI Spring Symposium: Computational Approaches to Analyzing Weblogs.
[6] Thorsten Joachims,et al. Text Categorization with Support Vector Machines: Learning with Many Relevant Features , 1998, ECML.
[7] Efstathios Stamatatos,et al. Automatic Text Categorization In Terms Of Genre and Author , 2000, CL.
[8] Eric Brill,et al. Transformation-Based Error-Driven Learning and Natural Language Processing: A Case Study in Part-of-Speech Tagging , 1995, CL.
[9] Boris Katz,et al. A Comparative Study of Language Models for Book and Author Recognition , 2005, IJCNLP.
[10] Efstathios Stamatatos,et al. Computer-Based Authorship Attribution Without Lexical Measures , 2001, Comput. Humanit..