Authorship Attribution

In a recent paper, Leveraging Discourse Information Effectively for Authorship Attribution, authors Su Wang, Elisa Ferracane, and Raymond J. Mooney describe a deep learning methodology for predict which of a collection of authors was the author of a given document.

Guests

Su Wang: Natural-language-processing researcher whose work includes one-shot word learning, distributional semantics, and understanding how models can learn properties of words from very limited textual exposure.

Elisa Ferracane: Research scientist in natural language processing at Abridge. She earned her PhD in Linguistics from the University of Texas at Austin, where her research focused on computational discourse analysis, including ambiguity and subjectivity in dialogue; her current work includes conversation analysis and information extraction in the medical domain.

Raymond J. Mooney: As a member of the Artificial Intelligence Laboratory I led the Machine Learning Research Group which explored a variety of areas, most recently, natural language processing / computational linguistics.