C4.5: programs for machine learning
C4.5: programs for machine learning
Data mining: practical machine learning tools and techniques with Java implementations
Data mining: practical machine learning tools and techniques with Java implementations
Document language models, query models, and risk minimization for information retrieval
Proceedings of the 24th annual international ACM SIGIR conference on Research and development in information retrieval
A study of smoothing methods for language models applied to Ad Hoc information retrieval
Proceedings of the 24th annual international ACM SIGIR conference on Research and development in information retrieval
Learning with Kernels: Support Vector Machines, Regularization, Optimization, and Beyond
Learning with Kernels: Support Vector Machines, Regularization, Optimization, and Beyond
SIGIR '02 Proceedings of the 25th annual international ACM SIGIR conference on Research and development in information retrieval
Two-stage language models for information retrieval
SIGIR '02 Proceedings of the 25th annual international ACM SIGIR conference on Research and development in information retrieval
Authorship Attribution with Support Vector Machines
Applied Intelligence
A repetition based measure for verification of text collections and for text categorization
Proceedings of the 26th annual international ACM SIGIR conference on Research and development in informaion retrieval
Distributional word clusters vs. words for text categorization
The Journal of Machine Learning Research
The disputed federalist papers: SVM feature selection via concave minimization
Proceedings of the 2003 conference on Diversity in computing
Efficient multi-way text categorization via generalized discriminant analysis
CIKM '03 Proceedings of the twelfth international conference on Information and knowledge management
Automatic authorship attribution
EACL '99 Proceedings of the ninth conference on European chapter of the Association for Computational Linguistics
An empirical study of smoothing techniques for language modeling
ACL '96 Proceedings of the 34th annual meeting on Association for Computational Linguistics
A study of smoothing methods for language models applied to information retrieval
ACM Transactions on Information Systems (TOIS)
ICML '04 Proceedings of the twenty-first international conference on Machine learning
Authorship verification as a one-class classification problem
ICML '04 Proceedings of the twenty-first international conference on Machine learning
From fingerprint to writeprint
Communications of the ACM - Supporting exploratory search
Inverted files for text search engines
ACM Computing Surveys (CSUR)
Effective and scalable authorship attribution using function words
AIRS'05 Proceedings of the Second Asia conference on Asia Information Retrieval Technology
Using relative entropy for authorship attribution
AIRS'06 Proceedings of the Third Asia conference on Information Retrieval Technology
A survey of modern authorship attribution methods
Journal of the American Society for Information Science and Technology
Entropy-based authorship search in large document collections
ECIR'07 Proceedings of the 29th European conference on IR research
Authorship classification: a discriminative syntactic tree mining approach
Proceedings of the 34th international ACM SIGIR conference on Research and development in Information Retrieval
Author identification in bengali literary works
PReMI'11 Proceedings of the 4th international conference on Pattern recognition and machine intelligence
Authorship Attribution Based on Specific Vocabulary
ACM Transactions on Information Systems (TOIS)
Syntactic stylometry for deception detection
ACL '12 Proceedings of the 50th Annual Meeting of the Association for Computational Linguistics: Short Papers - Volume 2
Characterizing stylistic elements in syntactic structure
EMNLP-CoNLL '12 Proceedings of the 2012 Joint Conference on Empirical Methods in Natural Language Processing and Computational Natural Language Learning
Towards a model for replicating aesthetic literary appreciation
Proceedings of the Fifth Workshop on Semantic Web Information Management
| Hi-index | 0.00 |
It is a truism of literature that certain authors have a highly recognizable style. The concept of style underlies the authorship attribution techniques that have been applied to tasks such as identifying which of several authors wrote a particular news article. In this paper, we explore whether the works of authors of classic literature can be correctly identified with either of two approaches to attribution, using a collection of 634 texts by 55 authors. Our results show that these methods can be highly accurate, with errors primarily for authors where it might be argued that style is lacking. And did Marlowe write the works of Shakespeare? Our preliminary evidence suggests not.