[PDF] Top 20 Authorship Attribution with Topic Models
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Authorship Attribution with Topic Models
... traditional authorship attribution data set, as it contains only three authors who wrote relatively long texts in a formal ...undisputed authorship, which were written in periods when only one of the ... See full document
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Authorship Attribution with Author aware Topic Models
... Authorship attribution (AA) has attracted much at- tention due to its many applications in, ...unknown authorship to one of a set of known authors, whose training texts are supplied in advance ... See full document
6
A Deep Context Grammatical Model For Authorship Attribution
... Our model performs slightly below the SVM at highest sample sizes, and significantly below at some smaller sizes. This is somewhat expected since the SVM weights differ- ent features in order to differentiate the ... See full document
5
Literary authorship attribution with phrase structure fragments
... The task of authorship attribution (for an overview cf. Stamatatos, 2009) is typically performed with su- perficial features of texts such as sentence length, word frequencies, and use of punctuation & ... See full document
5
Continuous N gram Representations for Authorship Attribution
... Character models also achieve a slightly better result on the Judgment dataset which consists of only three authors. This can be explained by the fact that the documents in this corpus are signif- icantly longer ... See full document
7
Leveraging Discourse Information Effectively for Authorship Attribution
... our models generalize, we pick the best models from the baseline-dataset experiments and evaluate on the novel-50 and IMDB62 ...the models with the original reviews di- ... See full document
10
Authorship Attribution Using Text Distortion
... examined models on the opinion articles of the cross-topic Guardian cor- pus as follows: one thematic category was used as training corpus, another was used as validation corpus (to estimate the best ... See full document
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Influence of compression distance measures on Authorship Attribution
... on authorship attribution using various features and with various ...judge authorship. The function words for authorship attribution is considered in ...for authorship ... See full document
8
Sparse Coding in Authorship Attribution for Polish Tweets
... The study explores application of a simple Convolutional Neural Network for the problem of authorship attribu- tion of tweets written in Polish. In our solution we use two-step compres- sion of tweets using Byte ... See full document
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The Effect of Author Set Size in Authorship Attribution for Lithuanian
... • ParlTranscr 1 (see Table 1) contains unedited transcripts of parliamentary speeches and de- bates, thus representing formal spoken but normative Lithuanian language. All tran- scripts are from regular parliamentary ... See full document
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Authorship Attribution based on Data Compression for Telugu Text
... can be referred when the string is repeated with that code. Prediction by partial matching (PPM) is an adaptive finite- context method for text compression that is a back-off smoothing technique for finite-order Markov ... See full document
5
Enhancing Authorship Attribution By Utilizing Syntax Tree Profiles
... The increasing amount of documents available from sources like publicly available literary databases often raises the question of verifying disputed authorships or assigning authors to un- labeled text fragments. The ... See full document
5
Convolutional Neural Networks for Authorship Attribution of Short Texts
... Despite the competitive performance of neural representation techniques in several NLP tasks, there is a lack of understanding about exactly what these models are learning, or how the parameters relate to the ... See full document
6
Authorship Attribution and Verification with Many Authors and Limited Data
... ship attribution starts from unrealistic assumptions about numbers of authors and amount of training data ...in authorship attribution on twenty authors in a corpus of Usenet newsgroups on a variety ... See full document
8
Authorship Attribution Using Probabilistic Context Free Grammars
... writing style at the syntactic level, it may not accu- rately capture lexical information. Since both syn- tactic and lexical information is presumably useful in capturing the author’s overall writing style, we also ... See full document
5
Lost in Translation: Authorship Attribution using Frame Semantics
... of authorship markers may be influenced by topics (Stein et ...the attribution methods in this ...thorship attribution have focused on the case of at- tributing texts among a small (N < 10) class ... See full document
6
Authorship Attribution with Latent Dirichlet Allocation
... The topic distributions are used as features for a binary SVM classifier that discrimi- nates between ...thorship attribution only in a limited study that con- sidered just stopwords (Rajkumar et ...lose ... See full document
9
Cross Topic Authorship Attribution: Will Out Of Topic Data Help?
... Although several corpora are available for traditional AA, we need datasets containing documents from a number of authors from different domains (different topics, different genres). We need many topics to be able to ... See full document
10
Authorship Attribution of Micro Messages
... for authorship attribution on micro-messages since they are relatively tolerant to typos and non-standard use of punctuation (Sta- matatos, ...her topic of interest), which is not available through ... See full document
12
Authorship Attribution in Health Forums
... The forums listed above consist of several sub-forums, e.g., the Cycle Friends forum con- sists of Introductions, IVF/FET/IUI Cycle Bud- dies, IVF Ages 35+ and other. Every sub-forum contains of a number of topics ... See full document
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