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Found 4 papers, 1 papers with code
Improving Online Forums Summarization via Hierarchical Unified Deep Neural Network
In this scheme, Bi-LSTM derives a representation that comprises information of the whole sentence and whole thread; whereas, CNN captures most informative features with respect to context from sentence and thread.
A Self-supervised Representation Learning of Sentence Structure for Authorship Attribution
Due to the n-to-1 mapping of words to their structural labels, each word will be embedded into a vector representation which mainly carries structural information.
Style-aware Neural Model with Application in Authorship Attribution
Writing style is a combination of consistent decisions associated with a specific author at different levels of language production, including lexical, syntactic, and structural.
Syntactic Recurrent Neural Network for Authorship Attribution
In this paper, we introduce a syntactic recurrent neural network to encode the syntactic patterns of a document in a hierarchical structure.
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