LINGUIST List 30.1229

Fri Mar 15 2019

Calls: Applied Ling, Cog Sci, Comp Ling, Neuroling, Text/Corpus Ling/Macau

Editor for this issue: Everett Green <>

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Date: 13-Mar-2019
From: Michael Zock <>
Subject: A.I. at the Crossroads of NLP and Neuroscience
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Full Title: A.I. at the Crossroads of NLP and Neuroscience
Short Title: AIxRoads

Date: 10-Aug-2019 - 12-Aug-2019
Location: Macao, Macau
Contact Person: Michael Zock
Meeting Email: < click here to access email >
Web Site:

Linguistic Field(s): Applied Linguistics; Cognitive Science; Computational Linguistics; Neurolinguistics; Text/Corpus Linguistics

Call Deadline: 15-Apr-2019

Meeting Description:

AIxRoads is a one-day workshop to be held in Macao in August (10/11/12, 2019), in conjunction with IJCAI (

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.

Call for Papers:

AIxRoads is a one-day workshop to be held in Macao in August (10/11/12, 2019), in conjunction with IJCAI (

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?

1. Important 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)

2. Contact Information

Michael Zock (e-mail:

For submission information visit:

To be sure to have the most recent information, check with the workshop’s homepage (

Page Updated: 15-Mar-2019