Enhancing Authorship Attribution By Utilizing Syntax Tree Profiles
Code (0)
등록된 구현이 없습니다.
Tasks
Authorship AttributionSimilar Papers 제목 키워드 기반
Syntax Encoding with Application in Authorship Attribution
We propose a novel strategy to encode the syntax parse tree of sentence into a learnable distributed representation. The proposed syntax encoding scheme is provably information-lossless. In specific, an embedding vector …
Authorship AttributionBenchmarkingFeature EngineeringSentence+1FastKASSIM: A Fast Tree Kernel-Based Syntactic Similarity Metric
Syntax is a fundamental component of language, yet few metrics have been employed to capture syntactic similarity or coherence at the utterance- and document-level. The existing standard document-level syntactic similari…
Authorship AttributionAuthorship attribution of source code by using back propagation neural network based on particle swarm optimization
Authorship attribution is to identify the most likely author of a given sample among a set of candidate known authors. It can be not only applied to discover the original author of plain text, such as novels, blogs, emai…
Authorship AttributionA Self-supervised Representation Learning of Sentence Structure for Authorship Attribution
Syntactic structure of sentences in a document substantially informs about its authorial writing style. Sentence representation learning has been widely explored in recent years and it has been shown that it improves the…
Authorship AttributionRepresentation LearningSentenceWord EmbeddingsAuthorship Attribution By Consensus Among Multiple Features
Most existing research on authorship attribution uses various lexical, syntactic and semantic features. In this paper we demonstrate an effective template-based approach for combining various syntactic features of a docu…
Author AttributionAuthorship Attribution