ACL
2012
11 years 6 months ago
2012
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...
PET
2012
Springer
11 years 7 months ago
2012
Springer
This paper presents Anonymouth, a novel framework for anonymizing writing style. Without accounting for style, anonymous authors risk identification. This framework is necessary t...
ESORICS
2011
Springer
12 years 4 months ago
2011
Springer
Program authorship attribution—identifying a programmer based on stylistic characteristics of code—has practical implications for detecting software theft, digital forensics, a...
ACL
2010
13 years 2 months ago
2010
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...
FTIR
2006
13 years 4 months ago
2006
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...
LREC
2010
13 years 6 months ago
2010
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...
COLING
2008
13 years 6 months ago
2008
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...
CIARP
2006
Springer
13 years 8 months ago
2006
Springer
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 ...
COMPSAC
2009
IEEE
13 years 9 months ago
2009
IEEE
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...
