31.352, Calls: Cognitive Science, Computational Linguistics, Forensic Linguistics/France

[The LINGUIST List]

LINGUIST List: Vol-31-352. Thu Jan 23 2020. ISSN: 1069 - 4875.

Subject: 31.352, Calls: Cognitive Science, Computational Linguistics, Forensic Linguistics/France

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Date: Thu, 23 Jan 2020 16:30:28
From: Patrizia Paggio [paggio at hum.ku.dk]
Subject: People in Language, Vision and the Mind

 
Full Title: People in Language, Vision and the Mind 
Short Title: ONION 

Date: 16-May-2020 - 16-May-2020
Location: Conference, Palais du Pharo, Marseilles, France, France 
Contact Person: Patrizia Paggio
Meeting Email: paggio at hum.ku.dk
Web Site: https://onion2020.github.io/ 

Linguistic Field(s): Cognitive Science; Computational Linguistics; Forensic Linguistics 

Call Deadline: 14-Feb-2020 

Meeting Description:

The workshop will provide a forum to present and discuss current research
focusing on multimodal resources as well as computational and cognitive models
aiming to describe people in terms of their bodies and faces, including their
affective state as it is reflected physically. Such models might either
generate textual descriptions of people, generate images corresponding to
people’s descriptions, or in general exploit multimodal representations for
different purposes and applications.  Knowledge of the way human bodies and
faces are perceived, understood and described by humans is key to the creation
of such resources and models, therefore the workshop also invites
contributions where the human body and face are studied from a cognitive,
neurocognitive or multimodal communication perspective.


Call for Papers: 

We are inviting short and long papers reporting original research, surveys,
position papers, and demos. Authors are strongly encouraged to identify and
discuss ethical issues arising from their work, insofar as it involves the use
of image data or descriptions of people.

Relevant topics include, but are not limited to, the following:
-Datasets of facial images, as well as body postures, gestures and their
descriptions
-Methods for the creation and annotation of multimodal resources dedicated to
the description of people
-Methods for the validation of  multimodal resources for descriptions of
people
-Experimental studies of facial expression understanding by humans
-Models or algorithms for automatic facial description generation
-Emotion recognition by humans
-Multimodal automatic emotion recognition from images and text
-Subjectivity in face perception
-Communicative, relational and intentional aspects of head pose and eye-gaze
-Collection and annotation methods for facial descriptions
-Coding schemes for the annotation of body posture and facial expression
-Understanding and description of the human face and body in different
contexts, including commercial applications, art, forensics, etc. 
-Modelling of the human body, face and facial expressions for embodied
conversational agents
-Generation of full-body images and/or facial images from textual descriptions
-Ethical and data protection issues related to the collection and/or automatic
description of images of real people
-Any form of bias in models which seek to make sense of human physical
attributes in language and vision.

Important dates: 
Paper submission deadline: February 14, 2020
Notification of acceptance: March 13, 2020 
Camera ready Papers:  April 2, 2020
Workshop:   May 16, 2020 (afternoon)  

Submission guidelines: 
Short paper submissions may consist of up to 4 pages of content, while long
papers may have up to 8 pages of content. References do not count towards
these page limits.
All submissions must follow the LREC 2020 style files, which are available for
LaTeX (preferred) and MS Word and can be retrieved from the following address:
https://lrec2020.lrec-conf.org/en/submission2020/authors-kit/
Papers must be submitted digitally, in PDF, and uploaded through the online
submission system here: https://www.softconf.com/lrec2020/ONION2020/
The authors of accepted papers will be required to submit a camera-ready
version to be included in the final proceedings. Authors of accepted papers
will be notified after the notification of acceptance with further details.

Identify, Describe and Share your LRs!
Describing your LRs in the LRE Map is now a normal practice in the submission
procedure of LREC (introduced in 2010 and adopted by other conferences). To
continue the efforts initiated at LREC 2014 about “Sharing LRs” (data, tools,
web-services, etc.), authors will have the possibility,  when submitting a
paper, to upload LRs in a special LREC repository.  This effort of sharing
LRs, linked to the LRE Map for their description, may become a new “regular”
feature for conferences in our field, thus contributing to creating a common
repository where everyone can deposit and share data.
As scientific work requires accurate citations of referenced work so as to
allow the community to understand the whole context and also replicate the
experiments conducted by other researchers, LREC 2020 endorses the need to
uniquely Identify LRs through the use of the International Standard Language
Resource Number (ISLRN, www.islrn.org), a Persistent Unique Identifier to be
assigned to each Language Resource. The assignment of ISLRNs to LRs cited in
LREC papers  will be offered at submission time.
Organisers

Patrizia Paggio, University of Copenhagen and University of Malta,
paggio at hum.ku.dk
Albert Gatt, University of Malta, albert.gatt at um.edu.mt
Roman Klinger, University of Stuttgart, roman.klinger at ims.uni-stuttgart.de




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