21 Sep 2017
London, England
3L (Language-Learning-Logic) workshop
21 September 2017
Imperial College London
(organised by the Department of Computing and the Data Science
Institute)
WORKSHOP WEBSITE: https://sites.google.com/view/3lworkshop/home
OVERVIEW:
There is widespread agreement that AI has grown over the years into a
fragmented landscape of sub-disciplines with a narrow focus. Specialisation has
certainly facilitated great advances within the sub-disciplines and AI overall,
but fragmentation has created a silos mentality which hinders
cross-fertilisation and further advancements within AI.
This workshop will bring together researchers from three broad AI areas, namely
natural language processing (NLP), machine learning (ML) and logic-based
symbolic AI, to discuss and explore opportunities for cross-fertilisation
centered around NLP. These may include, for example: the use of (existing or
new) ML methods to support the extraction of knowledge from text via NLP
methods to provide an input for (existing or new) AI symbolic reasoning
methods; the integration of symbolic AI within ML to face NLP challenges; the
integration of ML and NLP techniques to face various AI challenges, e.g. for
image understanding, emotion detection, as well as human-agent and human-robot
interactions. The workshop also aims at discussing and identifying possible
directions for future research at the intersection of NLP, ML and symbolic AI
PROGRAMME:
The workshop will include a number of invited talks (see
https://sites.google.com/view/3lworkshop/home) as well as selected
presentations and a panel/discussion.
PARTICIPATION:
Participation in the workshop is free, subject to availability.
To attend and give a presentation, please submit a 2-page abstract of your
intended presentation via Easy Chair.
To attend without presenting, please submit a half-page summary of your
research interests and previous (relevant) research, also via Easy Chair.
The deadline for submissions is 10 September 2017. Notifications will be sent
on a rolling basis as submissions are received.
--
Prof Francesca Toni
Department of Computing
Imperial College London
www.doc.ic.ac.uk/~ft/
--
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