CFP

AIxRoads-1: Artificial Intelligence at the Crossroads of NLP and Neuroscience

Macao, China, August 10, 2019

Conference website	https://sites.google.com/view/ijcai-ws928-AIxRoads/home
Submission link	https://easychair.org/conferences/?conf=aixroads2019
Abstract registration deadline	May 12, 2019
Submission deadline	May 12, 2019

Topics: artificial intelligence natural language processing neuroscience

A.I. at the Crossroads of NLP and Neuroscience

AIxRoads

--- Deadline Extended to May 12 ---

AIxRoads is a one-day workshop to 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.

This success may have several reasons: (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 little in common (Linguistics, Psychology, Mathematics, and Neuroscience). Different as they may be, these disciplines turn out to be complementary, yielding a virtuous circle, which is an asset, allowing us not only to build 'smart' artifacts, but also to improve our understanding of the human mind.

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.

Submission Guidelines

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.

Topics and questions begging for 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 performance 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?

Committees

Organizing Committee

Michael Zock (CNRS, LIS, AMU, Marseille, France), psycholinguist
Yoed N. Kenett (University of Pennsylvania, Philadelphia, PA, USA), neuroscientist
Enrico Santus (MIT, CSAIL, Boston, USA), computational linguist
Mingyu Wan (The Hong Kong Polytechnic University), computational linguist
Emmanuele Chersoni (The Hong Kong Polytechnic University), computational linguist

Program Committee

Bellot, Patrice (LPL, Aix-Marseille Université, France)
Bieman, Chris (Language Technology group, Universität Hamburg, Germany)
Blache, Philippe (CNRS, Aix-Marseille Université, France)
Briot, Jean Pierre (LIP6, CNRS, Paris, France, and PUC-Rio, Rio de Janeiro, Brazil)
Carl, Michael (Kent State University, Cleveland, Ohio, USA)
Chersoni, Emmanuele (The Hong Kong Polytechnic University, China)
deDeyne, Simon (School of Psychological Sciences, University of Melbourne, Australia)
de Melo, Gerard (Rutgers University, USA)
Espinosa-Anke, Luis (COMSC, Cardiff University, UK)
Ferret, Olivier (CEA LIST, France)
Grefenstette, Gregory (Institute for Human & Machine Cognition, Florida, USA)
Herbelot, Aurélie (Center for Mind/Brain Sciences, University of Trento, Italy)
Hovy, Eduard (CMU, Pittsburgh, USA)
Kenett, Yoed N. (University of Pennsylvania, Philadelphia PA, USA)
Lafourcade, Matthieu (LIRMM, université de Montpellier, France)
Langlais, Philippe (DIRO/RALI, University of Montreal, Canada)
Lapalme, Guy (RALI, University of Montreal, Canada)
Lee, John (City University of Hong Kong, China)
Lenci, Alessandro (University of Pisa, Italy)
Padó, Sebastian (Universität Stuttgart, Germany)
Panchenko, Alexander (Language Technology group, Universität Hamburg, Germany)
Pease, Adam (InfoSys, Palo Alto,CA, USA)
Pirrelli, Vito (ILC, Pisa, Italy)
Rosso, Paolo (NLEL, Universitat Politècnica de València, Spain)
Sahlgren, Magnus (SICS, Smart AI, Sweden)
Santus, Enrico (CSAIL, MIT, Boston, USA)
Schwab, Didier (LIG, Grenoble, France)
Schulte im Walde, Sabine (Universität Stuttgart, Germany)
Shams, Zohreh (Computer Laboratory - University of Cambridge, UK)
Stella, Massimo ((Complex Science Consulting, Lecce, Italy)
Strapparava, Carlo (Fondazione Bruno Kessler, Trento, Italy)
Sun Weiwei (Institute of Computer Science & Technology, Peking University, China)
Tokunaga, Takenobu (TITECH, Tokyo, Japan)
Trandabant Diana (Al. I. Cuza University, Iasi, Romania)
Tufis, Dan (RACAI, Bucharest, Romania)
Wan, Mingyu (The Hong Kong Polytechnic University, China)
Winniwarter, Werner (Computer Science, University of Vienna, Austria)
Zock, Michael (CNRS, LIS-AMU, Marseille, France)

Publication

The workshop proceedings will be published by IJCAI (https://ijcai19.org).

Venue

The conference 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).

Contact

If you have any problem(s) or question(s), please get in touch with Michael Zock (michael.zock@lis-lab.fr)