Information Extraction: Knowledge Discovery from Text
New York University –
Much of the information on the Web is encoded as text, in a form which is easy for people to use but hard for computers to manipulate. The role of information extraction is to make the structure of this information explicit, by creating data base entries capturing specified types of entities, relations, and events in the text. We consider some of the challenges of information extraction and how they have been addressed. In particular, we consider what knowledge is required and how the means for creating this knowledge has developed over the past decade, shifting from hand-coded rules to supervised learning methods and now to semi-supervised and unsupervised techniques.
Date: 2009-May-25 Time: 14:00:00 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.