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SENNA Natural Language Processing Demo
Ronan Collobert

Tue Dec 13 08:45 AM -- 02:59 PM (PST) @

We present an interactive demo of SENNA, our end-to-end Natural Language Processing (NLP) system. The demo leverages Torch7, which provides an efficient Matlab-like environment for machine-learning algorithms. As the user types in characters, the demo displays (in a smooth and real time fashion) the outcome of a wide variety of NLP tasks (Part-Of-Speech tags, Chunking, Name Entity Recognition, Semantic Role Labeling, and Parsing). Torch7 GUI features are used to embellish the output results, as well as the interactive experience.

Author Information

Ronan Collobert (Apple)

Ronan Collobert received his master degree in pure mathematics from University of Rennes (France) in 2000. He then performed graduate studies in University of Montreal and IDIAP (Switzerland) under the Bengio brothers, and received his PhD in 2004 from University of Paris VI. He joined NEC Labs (USA) in January 2005 as a postdoc, and became a research staff member after about one year. His research interests always focused on large-scale machine-learning algorithms, with a particular interest in semi-supervised learning and deep learning architectures. Two years ago, his research shifted in the natural language processing area, slowly going towards automatic text understanding.

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