30.4966, Calls: Cognitive Science, Computational Linguistics, Forensic Linguistics/France

[The LINGUIST List]

LINGUIST List: Vol-30-4966. Tue Dec 31 2019. ISSN: 1069 - 4875.

Subject: 30.4966, Calls: Cognitive Science, Computational Linguistics, Forensic Linguistics/France

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Date: Tue, 31 Dec 2019 21:11:41
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 invite paper submissions for the first workshop on People in Language,
Vision, and the Mind, which discusses how people, their bodies and faces as
well as mental states are described in text. We are interested in
contributions from diverse areas including language generation, language
analysis, cognitive computing, affective computing.

Relevant topics

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 ones:

- 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 (guidelines will be provided later). 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.




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