[Ta-teden] Najava 285 Solomonov seminar 30. 1. ob 14 uri "Enriching Pathways using Text Mining"

[Jolanda Jakofcic]

Pozdravljeni!
Pošiljam najavo dogodka v organizaciji odseka E7, v sklopu Solomonovih 
seminarjev.
Ali moram še koga obvestiti? Hvala in lep pozdrav,
Jolanda
> V torek, 30. januarja 2018 v Veliki predavalnici IJS ob 14 uri 
> vabljeno predavanje
>
> *****************************************************************************
> Professor Sophia Ananiadou, School of Computer Science,
>  Director, National Centre for Text Mining
>  Manchester Institute of Biotechnology
>  University of Manchester
>
> Naslov predavanja: "Enriching Pathways using Text Mining"
>
> ABSTRACT:  Pathway models are valuable resources that help us to
> understand the various mechanisms underpinning complex biological
> processes. Their curation is typically carried out through manual
> inspection of the scientific literature, a knowledge-intensive and
> laborious task. Text mining methods are used to automate model
> reconstruction by increasing the speed and reliability of discovery
> and extracting evidence from the literature . Complex information from
> the literature is automatically extracted and then mapped to reactions
> in existing pathway models.  Information from the literature (events)
> can act as corroborative evidence of the validity of these reactions
> in a model or help to extend it. In addition, by contextualising the
> textual evidence (extracting uncertainty, negation), we can provide
> additional confidence measures for linking and ranking information
> from the literature for model curation and ultimately experimental
> design. In addition, visual analytics methods can act as the nexus
> between text mining methods and modellers by providing an interactive
> way to explore and analyse the statements linked with pathways.
>
> SHORT BIO:
> Sophia Ananiadou is Professor in Computer Science, School of Computer
> Science, The University of Manchester and Director of the National
> Centre for Text Mining.  Since 2005, she has successfully directed
> NaCTeM to be currently a fully sustainable centre, carrying out novel,
> world-leading research on text mining that then informs the provision
> of services, tools, resources and infrastructure to a variety of users
> from translational medicine, biology, biodiversity, humanities,
> health, and social sciences. Research she has led has advanced the
> state of the art in text mining and contributed in novel ways to:
> automatic extraction of terminology and term variation; development of
> robust taggers for biomedical text; automatic extraction of events and
> their interpretation using machine learning methods; development of
> large scale terminological resources for biomedicine and biodiversity;
> linking textual evidence with metabolic and signaling pathways;
> association mining and hypothesis generation; supporting the
> development of systematic reviews using novel topic modeling and
> clustering methods and the development of interoperable text mining
> infrastructure to facilitate all the above applications (Argo).  Her
> team achieved top performance is several text mining challenges, e.g.
> BioCreaTive (2010, 2013, 2015), BioNLP (2011, 2013).
>
> ----------
>  Professor Sophia Ananiadou, School of Computer Science,
>  Director, National Centre for Text Mining
>  Manchester Institute of Biotechnology
>  University of Manchester
>  131 Princess Street, M1 7DN
> www.nactem.ac.uk [1]
> sophia.ananiadou at manchester.ac.uk
> http://www.nactem.ac.uk/staff/sophia.ananiadou/
>  tel: +44 (0)161 306 3092
>
> Links:
> ------
> [1] http://www.nactem.ac.uk

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