[AISWorld] cfp 'AI at the Crossroads of NLP and Neuroscience' (IJCAI workshop928)
Michael Zock
michael.zock at lis-lab.fr
Tue Mar 12 21:18:54 EDT 2019
(Apologies for cross-posting)
*CALL FOR PAPERS*
**
A.I. at the Crossroads of NLP and Neuroscience
(AIxRoads)
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*Location*: Macao, China (in conjunction with IJCAI-2019
<https://ijcai19.org/><https://ijcai19.org/>)
*Date*: 10th, 11th or12th of August, 2019
*Submission deadline*: 15th April 2019
*Conference website*:
https://sites.google.com/view/ijcai-ws928-aixroads/home
*Submission link*: https://easychair.org/conferences/?conf=aixroads2019
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1Workshop Description
This one-day workshop will be held in Macao in August (10/11/12, 2019),
in conjunction with the 28th International Joint Conference of
Artificial Intelligence (https://ijcai19.org).
After many years of experimentation in research labs, Artificial
Intelligence (AI) has moved into the arena of the real world. AI systems
are currently used in many domains (e.g., medicine, finances and
communication), outperforming humans in a broad range of acoustic-,
visual- and natural language tasks.
Several facts may explain the reasons of this success: a) the growth of
computational resources and storage devices; (b) the availability of
huge amounts of data (Internet), and (c) the development of smart
learning algorithms. Progress is also due to the fact that researchers
have managed to leverage and integrate discoveries made in disciplines
that seemingly had nothing in common (Linguistics, Psychology,
Mathematics, and Neuroscience). Yet this complementarity turned out to
be very useful, allowing us not only to build artifacts, but also to
better understand the human information processor.
Finally, nature played an important role, as it inspired researchers by
providing a model that, in order to be turned into sophisticated working
solutions had to be understood, formalized and recast in engineering
terms. Neural networks are a good example of this process as they
represent a loose, yet very effective, imitation of the neural system.
State-of-the-art neural architectures, such as Convolutional Neural
Networks and Transformers, are directly inspired by biological (e.g.,
visual cortex) and cognitive (e.g., attention processes) models.
The goal of this workshop is to stimulate cross-fertilization between
the different communities of the AI universe (e.g., Mathematicians,
Linguists, Cognitive Scientists, Neuroscientists) in order to identify
the knowledge needed to bridge the gap between Natural and Artificial
Intelligence. More precisely, we would like to discuss whether and how
the usage of knowledge concerning the human brain may enable engineers
to produce better software.
Here are some of the questions for which we would like to find answers:
* Can we get machines to learn as ordinary people do? Children induce
rules on the basis of very few examples, containing even noisy data
(few-shot learning ; learning of abstractions). Can we replicate
this by a machine?
* How can the learned knowledge be reused for new tasks?
* How to improve the interaction between humans and machines?
* Can knowledge of the brain mechanisms involving intelligence (sound,
vision and language) help us to develop better architectures?
* In what ways can the techniques developed in AI inspire cognitive
scientists to get new ideas/theories, or, to help them to refine
existing ones?
* Is there a way for AI to exploit embodied representations ?
* How can AI help us to solve problems in other disciplines, for
example, NLP?
* Can we make Natural and Artificial Intelligence cooperate in
problem-solving, or, should the two be applied separately ?
* If there is an interaction between the two, what should this look
like? What are the interfaces and workflows?
* What are the benefits for AI to mimic humans or the human mind while
processing language?
* Where in the development cycle and how shall AI engineers consider
specific human aspects, such as the human brain/mind?
* Specificities of humans and machines: how relevant is deep learning
in modeling human thought?
* Do we still need theories in the age of deep learning? Are there
ways to interpret their results?
* Is it possible to build a glass box and open the neural network
black box?
* What can NLP practitioners learn from network science (complex graphs)?
* Can machines liberate us from the boring and mechanical aspects of
problem-solving (logical proofs), to allow us to focus more on the
creative aspects of the task?
* How to build AI augmenting human intelligence, or, how to use human
intelligence to augment AI?
* Can we impose order and logic on an unordered set of ideas, by
detecting the nature of the links between them automatically, to
help authors in producing coherent texts?
2Workshop Submissions
We accept regular workshop papers, which will be included in the
proceedings pending acceptance. All submissions should be in PDF format,
and be submitted via the following website:
https://easychair.org/conferences/?conf=aixroads2019. If you don’t have
already an account with them, you will have to create one
(https://easychair.org/account/signup.cgi).
To allow for double-blind reviewing, the manuscripts should be devoid of
information allowing author identification. Paper formats should comply
with the IJCAI 2019 style sheets, available at:
https://www.ijcai.org/authors_kit.
* Regular Submissions Papers can be either full (8 pages of content +
references) or short papers (4 pages + references) reporting
original and unpublished research relevant for this workshop.
* Accepted papers are expected to be presented by one of the authors
at the workshop (oral presentation or poster). It is only under this
condition that they will be included in the workshop proceedings.
If the same paper has been submitted to multiple conferences /
workshops, the authors are asked to point this out at submission time.
For papers to be presented at this workshop, they must be withdrawn from
other venues.
3Important Dates
* Submission deadline: Apr 15, 2019(11.59 p.m., UTC-12h)
* Notification of acceptance: May 10, 2019
* Camera-ready version due: May 25, 2019
* Workshop date: **Aug 10/11/12, 2019 (one out of these three)
4Workshop Organizers
* Michael Zock (CNRS, LIS, AMU, Marseille, France), psycholinguist
* Yoed N. Kenett (University of Pennsylvania, Philadelphia, PA, USA),
neuroscientist
* Enrico Santus (MIT, CSAIL, Boson, USA), computational linguist
* Mingyu Wan (The Hong Kong Polytechnic University), computational
linguist
* Emmanuele Chersoni (The Hong Kong Polytechnic University),
computational linguist
5Program Committee
Mostly confirmed
* Arenas, Alexander (Universidad Rovira i Virgili, Tarragona, Spain)
* Bieman, Chris (Language Technology group, Universität Hamburg, Germany)
* Bilac, Slaven (Google, Tokyo, Japan)
* Blache, Philippe (CNRS, Aix-Marseille Université)
* Briot, Jean Pierre (LIP6, CNRS, Paris, France, and PUC-Rio, Rio de
Janeiro, Brazil)
* Brysbaert, Marc (Experimental Psychology, Ghent University, Belgium)
* Chersoni, Emmanuele (The Hong Kong Polytechnic University, China)
* deDeyne, Simon (Melbourne School of Psychological Sciences,
University of Melbourne, Australia)
* de Melo, Gerard (Rutgers University, USA)
* Evert, Stefan (University of Erlangen, Germany)
* Favre, Benoît (AMU, LIS, Marseille, France, and QUT, Brisbane,
Australia)
* Federmeier, Kara (Psychology, University of Illinois at
Urbana-Champaign, USA)
* Ferret, Olivier (CEA LIST, France)
* Gardent, Claire (Loria, Nancy, France)
* Gopnik, Alison (Dept. Of Psychology, University of California,
Berkeley, USA)
* Grefenstette, Gregory (Institute for Human & Machine Cognition ;
Florida, USA)
* Hees, Jörn (DFKI, Kaiserslautern, Germany)
* Hovy, Eduard (CMU, Pittsburgh, USA)
* Huang Chu-Ren (Hongkong Polytechnic University, China)
* Kenett, Yoed N. (University of Pennsylvania, Philadelphia, PA, USA)
* Lee, John (City University of Hong Kong, China)
* Lenci, Alessandro (University of Pisa, Italy)
* Mihalcea, Rada (University of Michigan, Ann Arbor, USA)
* Navigli, Roberto(University of Sapienza, Rome, Italy)
* Padó, Sebastian (University of Stuttgart, Germany)
* Pachenko, Alexander (Language Technology group, Universität Hamburg,
Germany)
* Pease, Adam (InfoSys, Palo Alto,CA,USA)
* Pihlevar, Taher(Computer Engineering, Iran University of Science and
Technology, Teheran, Iran)
* Pirrelli, Vito (ILC, Pisa, Italy)
* Purver, Matthew (Queen Mary University of London, UK)
* Ramisch, Carlos (LIS, AMU, Marseille, France)
* Rosso, Paolo (NLEL, Universitat Politècnica de València, Spain)
* Sahlgren, Magnus (SICS, Rise AI, Sweden)
* Santus, Enrico (CSAIL, MIT, Boston, USA)
* Shams, Zohreh (Computer Laboratory - University of Cambridge, UK)
* Stella, Massimo (Complex Science Consulting, Lecce, Italy)
* Storms, Gert (Experimental Psychology, Leuven, Belgium)
* Strapparava, Carlo (Fondazione Bruno Kessler, Trento, Italy)
* Sun Weiwei (Institute of Computer Science & Technology, Peking
University, China)
* Tokunaga, Takenobu (TITECH, Tokyo, Japan)
* Tsuji, Junichi (Artificial Intelligence Research Center of AIST,
Tokyo, Japan)
* Tufis, Dan (RACAI, Bucharest, Romania)
* Wan, Mingyu (The Hong Kong Polytechnic University, China)
* Wehbe, Leila (CMU, Pittsburgh, USA)
* Widdows Dominic (Microsoft, Washington, USA)
* Wilks Yorick (Oxford Research Institute, UK)
* Zock, Michael (CNRS, LIS-AMU, Marseille, France)
6Contact Information
e-mail: michael.zock at lis-lab.fr <mailto:michael.zock at lis-lab.fr>
Homepage: http://pageperso.lif.univ-mrs.fr/~michael.zock/
<http://pageperso.lif.univ-mrs.fr/%7Emichael.zock/>
Phone (France): +33 951-899-707
Skype: mikazock
To be sure to have the most recent information, check with the
workshop’s homepage
(_https://sites.google.com/view/ijcai-ws928-aixroads/home_).
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Michael ZOCK
Directeur de Recherche Émérite
LIS UMR CNRS 7020 (Groupe TALEP)
Aix Marseilly Université
163 Avenue de Luminy - case 901
F-13288 Marseille/France
Mail: michael.zock at lis-lab.fr
Tel.: +33 (0)4.86.09.06.85
Secr.: +33 (0)4.86.09.04.60
+33 (0)4.86.09.06.75
http://pageperso.lif.univ-mrs.fr/~michael.zock/<http://pageperso.lif.univ-mrs.fr/%7Emichael.zock/>
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Michael ZOCK
Directeur de Recherche Émérite
LIS UMR CNRS 7020 (Groupe TALEP)
Aix Marseilly Université
163 Avenue de Luminy - case 901
F-13288 Marseille/France
Mail: michael.zock at lis-lab.fr
Tel.: +33 (0)4.86.09.06.85
Secr.: +33 (0)4.86.09.04.60
+33 (0)4.86.09.06.75
http://pageperso.lif.univ-mrs.fr/~michael.zock/<http://pageperso.lif.univ-mrs.fr/%7Emichael.zock/>
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