[iva] ONION 2020 - peOple in laNguage, vsIOn and the miNd: First CfP

[Patrizia Paggio]

*** With apologies for multiple crossings ***

First Call for Papers

ONION: peOple in laNguage, vsIOn and the miNd

Workshop to be held at the 12th Edition of the Language Resources and Evaluation Conference, Palais du Pharo, Marseilles, France, on Saturday, May 16 2020.
https://onion2020.github.io/ <https://onion2020.github.io/>
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.

Detailed Workshop goals

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. 

Human body postures and faces are being studied by researchers from different research communities, including those working with vision and language modeling, natural language generation, cognitive science, cognitive psychology, multimodal communication and embodied conversational agents. The workshop aims to reach out to all these communities to explore the many different aspects of research on the human body and face, including the resources that such research needs,  and to foster cross-disciplinary synergy.

The ability to adequately model and describe people in terms of their body and face is interesting for a variety of language technology applications, e.g., conversational agents and interactive multimodal narrative generation, as well as forensic applications in which people need to be identified or their images generated from textual or spoken descriptions. 

Such systems need resources and models where images associated with human bodies and faces are coupled with linguistic descriptions, therefore the research needed to develop them is placed at the interface between vision and language research. 

At the same time, this line of research raises important ethical questions, both from the perspective of data collection methodology and from the perspective of bias detection and avoidance in models trained to process and interpret human attributes.

By focussing on the modelling and processing of physical characteristics of people, and the ethical implications of this research, the workshop will explore and further develop a particular area within visual and language research. Furthermore, it will foster novel cross-disciplinary knowledge by soliciting contributions from different fields of research. By attempting to bring results from the cognitive and neurocognitive fields to the attention of the HLT community, it is also in line with the “Language and the Brain” hot topic of LREC 2020.

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/ <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.

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 <http://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 <mailto:paggio at hum.ku.dk>
Albert Gatt, University of Malta, albert.gatt at um.edu.mt <mailto:albert.gatt at um.edu.mt>
Roman Klinger, University of Stuttgart, roman.klinger at ims.uni-stuttgart.de <mailto:roman.klinger at ims.uni-stuttgart.de>
Programme committee 

Adrian Muscat, University of Malta
Andreas Hotho, University of Würzburg
Andrew Hendrickson, University of Tilburg
Catherine Pelachaud, Institute for Intelligent Systems and Robotics, UPMC and CNRS 
Costanza Navarretta, CST, University of Copenhagen
David Hogg, University of Leeds
Diego Frassinelli, University of Stuttgart
Gholamreza Anbarjafari, University of Tartu
Isabella Poggi, Roma Tre University
Jordi Gonzalez, Universitat Autònoma de Barcelona
Kristiina.Jokinen, National Institute of Advanced Industrial Science and Technology (AIST)
Mihael Arcan,  National University of Ireland, Galway
Raffaella Bernardi, CiMEC Trento
Sebastian Padó, University of Stuttgart





Patrizia Paggio

Professor
University of Malta
Institute of Linguistics and Language Technology
patrizia.paggio at um.edu.mt <mailto:patrizia.paggio at um.edu.mt>

Senior Researcher
University of Copenhagen
Centre for Language Technology
paggio at hum.ku.dk <mailto:paggio at hum.ku.dk>













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