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ACL
2012
8 years 2 months ago
Authorship Attribution with Author-aware Topic Models
Authorship attribution deals with identifying the authors of anonymous texts. Building on our earlier finding that the Latent Dirichlet Allocation (LDA) topic model can be used t...
Yanir Seroussi, Fabian Bohnert, Ingrid Zukerman
PET
2012
Springer
8 years 2 months ago
Use Fewer Instances of the Letter "i": Toward Writing Style Anonymization
This paper presents Anonymouth, a novel framework for anonymizing writing style. Without accounting for style, anonymous authors risk identification. This framework is necessary t...
Andrew W. E. McDonald, Sadia Afroz, Aylin Caliskan...
ESORICS
2011
Springer
8 years 11 months ago
Who Wrote This Code? Identifying the Authors of Program Binaries
Program authorship attribution—identifying a programmer based on stylistic characteristics of code—has practical implications for detecting software theft, digital forensics, a...
Nathan E. Rosenblum, Xiaojin Zhu, Barton P. Miller
ACL
2010
9 years 10 months ago
Authorship Attribution Using Probabilistic Context-Free Grammars
In this paper, we present a novel approach for authorship attribution, the task of identifying the author of a document, using probabilistic context-free grammars. Our approach in...
Sindhu Raghavan, Adriana Kovashka, Raymond J. Moon...
FTIR
2006
128views more  FTIR 2006»
9 years 12 months ago
Authorship Attribution
Authorship attribution, the science of inferring characteristics of the author from the characteristics of documents written by that author, is a problem with a long history and a...
Patrick Juola
LREC
2010
200views Education» more  LREC 2010»
10 years 1 months ago
Personal Sense and Idiolect: Combining Authorship Attribution and Opinion Analysis
Subjectivity analysis and authorship attribution are very popular areas of research. However, work in these two areas has been done separately. Our conjecture is that by combining...
Polina Panicheva, John Cardiff, Paolo Rosso
COLING
2008
10 years 1 months ago
Authorship Attribution and Verification with Many Authors and Limited Data
Most studies in statistical or machine learning based authorship attribution focus on two or a few authors. This leads to an overestimation of the importance of the features extra...
Kim Luyckx, Walter Daelemans
CIARP
2006
Springer
10 years 3 months ago
Authorship Attribution Using Word Sequences
Authorship attribution is the task of identifying the author of a given text. The main concern of this task is to define an appropriate characterization of documents that captures ...
Rosa María Coyotl-Morales, Luis Villase&nti...
COMPSAC
2009
IEEE
10 years 4 months ago
Temporally Robust Software Features for Authorship Attribution
Authorship attribution is used to determine the creator of works among many candidates, playing a vital role in software forensics, authorship disputes and academic integrity inve...
Steven Burrows, Alexandra L. Uitdenbogerd, Andrew ...

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schweStudent, Msc
Bar Ilan, Israel
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