Information about the meanings of terms in context supports useful inferences in a variety of language processing and information retrieval tasks. We hypothesize that much of that information can be derived from explicit and implicit relationships between terms in the masses Web content and user interactions with that content. I will describe initial tests of that hypothesis where we use graph label- propagation methods to combine many small pieces of evidence from unstructured and semi-structured Web text to bootstrap broad-coverage instance-class relationships from a few seed examples.
Date: 2010-Jul-19 Time: 15:00:00 Room: Room FA1 – Pavilhão de Informática I (IST)
For more information:
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.