Jointly organised by Imperial College's Department of Computing and Data Science Institute
Location: Imperial College London, South Kensington Campus, UK
Date: 21 September 2017
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. 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 logic.
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.