Advances in Structured Prediction for Natural Language Processing
This thesis proposes new models and algorithms for structured output prediction, with an emphasis on natural language processing applications. We advance in two fronts: in the inference problem, whose aim is to make a prediction given a model, and in the learning problem, where the model is trained from data.
For inference, we make a paradigm shift, by considering rich models with global features and constraints, representable as constrained graphical models. We introduce a new approximate decoder that ignores global effects caused by the cycles of the graph. This methodology is then applied to syntactic analysis of text, yielding a new framework which we call “turbo parsing,” with state-of-the-art results.
For learning, we consider a family of loss functions encompassing conditional random fields, support vector machines and the structured perceptron, for which we provide new online algorithms that dispense with learning rate hyperparameters. We then focus on the regularizer, which we use for promoting structured sparsity and for learning structured predictors with multiple kernels. We introduce online proximal-gradient algorithms that can explore large feature spaces efficiently, with minimal memory consumption. The result is a new framework for feature template selection yielding compact and accurate models.
Date: 2012-May-04 Time: 15:00:00 Room: 336
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Workshop “Metabolism and mathematical models: Two for a tango” – 2nd Edition
Title: Workshop Metabolism and mathematical models: Two for a tango – 2nd Edition
Dates: October 25-26, 2022
Location: This workshop will be held in a virtual way
The topic of this workshop is metabolism in general, with a special focus, although not exclusive, on parasitology. Besides an exploration of the biological, biochemical and biomedical aspects, the workshop will also aim at presenting some of the mathematical modelling, algorithmic theory and software development that have become crucial to explore such aspects.
This workshop is being organised in the context of two projects, both with the Inria European Team Erable. One of the projects involves a partnership with the University of São Paulo (USP), in São Paulo, Brazil, more specifically the Institute of Mathematics and Statistics (IME) and the Institute of Biomedical Sciences – Inria Associated Team Capoeira – and the other involves the Inesc-ID/IST in Portugal, ETH in Zürich and EMBL in Heidelberg – H2020 Twinning Project Olissipo.
The workshop is open to all members of these two projects but also, importantly, to the community in general.
The program and more details are available here.