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Machine Learning for Sequential Data: A Comparative Study with Applications to Natural Language Processing
This video was recorded at Open House on Multi-Task and Complex Outputs Learning, London 2006. The Open House is part of the PASCAL's fifth thematic programme. This scientific programme brings together researchers around two themes: learning tasks where the target is complex (i.e. large number of different predictions) but has structure (sequence, tree, graph) that can be utilized for learning effectively; multi-task learning, where several dependent learning tasks are to be tackled at once. In particular, we shall focus on the following research topics/issues.
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This work is licensed under a Attribution-NonCommercial-NoDerivs 3.0 United States
