Re: Emotion and Sentiment Analysis workshop LREC 2016

Dear all,

Find below the call for papers for ESA2016. The updated version of the CFP
is hosted here: http://gsi.dit.upm.es/esa2016/.

As I said earlier, I believe the workshop is a perfect fit for most people
in this working group. You are also invited to forward it to any other
colleagues that might be interested.

Last but not least, a big thanks to those of you who contacted us to
support the workshop and join the programme committee. Without you, this
workshop wouldn't be possible.

Looking forward to your contributions,
Fernando

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Scope
+++++

The Emotion and Sentiment Analysis workshop is the sixth edition of the
highly successful series of Corpora for Research on Emotion. As its
predecessors, the aim of this workshop is to  connect the related fields
around sentiment, emotion and social signals, exploring the state of the
art in applications and resources. All this, with a special interest on
multidisciplinarity, multilingualism and multimodality.

This year's edition will again also put an emphasis on common models and
formats, as a standardization process would foster the creation of
interoperable resources. In particular, researchers are encouraged to share
their experience with Linked Data representation of emotions and sentiment
and present any initiatives to go beyond the state of the art. Beyond data
modelling, the workshop will deal with harnessing Linked Open Data in every
application: from data collection and sharing to data analysis.

Approaches on semi-automated and collaborative labeling of large data
archives will also be of interest, such as by efficient combinations of
active learning and crowdsourcing. In particular also for combined
annotations of emotion, sentiment, and social signals. Multi- and
cross-corpus studies (transfer learning, standardisation, corpus quality
assessment, etc.) are further highly relevant, given their importance in
order to test the generalisation power of models.

Topics include, but are not limited to:

    Multimodality and the influence of modality in both expression and
analysis
    Multilingual applications and resources
    The influence of language and culture in the interpretation of emotion
    The perception and annotation mixtures of affective states
    The role of context in emotion and sentiment analysis
    The study of emotions and demographics (emotions and age, gender,
personality)
    Big data for training and analysis
    Models for annotation and representation
    Emotions in Social Media
    Real-life applications of language and multimodal resources
    Novel corpora of affective speech in audio and multimodal data
    Novel corpora of written language and multimodal data for sentiment and
trait analysis
    Resources for emotional and personality profiles
    Resources and analysis of social emotions (embarrassment, guilt, shame,
pride, etc.), figurative languages (irony, metaphor, parody, sarcasm,
satire, etc.) and social signals (consents, laughs, sighs, hesitations,
etc.)
    Resources for underrepresented languages and cultures
    Resources for emotional and personality profiles
    Multi- and cross-corpus studies (transfer learning, standardisation,
corpus quality assessment, etc.)
    New methods for community or distributed annotation (crowd-sourcing,
mixed crowd/expert, etc.)

Important Dates
+++++++++++++++

Submissions: February 15, 2016
Notification of acceptance: March 10,  2016
Camera-ready version: March 25, 2016
Workshop: May 23, 2016

Submission
++++++++++

Submitted abstracts of papers for oral and poster must consist of about
1500 – 2000 words. Final submissions must follow the submission guidelines
at LREC 2016:

    Regular papers (8 pages)
    Short papers (4 pages)
    Demo papers (2-4 pages)

All submissions will be done via a START page, which will be available in
the upcoming weeks at http://gsi.dit.upm.es/esa2016/. When submitting a
paper from the START page, authors will be asked to provide essential
information about resources (in a broad sense, i.e. also technologies,
standards, evaluation kits, etc.) that have been used for the work
described in the paper or are a new result of your research.

Moreover, ELRA encourages all LREC authors to share the described LRs
(data, tools, services, etc.) to enable their reuse and replicability of
experiments (including evaluation ones)

Organising Committee
++++++++++++++++++++

J. Fernando Sánchez-Rada - UPM, Spain
Carlos A. Iglesias - UPM, Spain
Björn Schuller - Imperial College London, UK
Gabriela Vulcu - Insight Centre for Data Analytics, NUIG, Ireland
Paul Buitelaar - Insight Centre for Data Analytics, NUIG, Ireland
Laurence Devillers - LIMSI, France

Program Committee
+++++++++++++++++

Rodrigo Agerri - EHU, Spain
Noam Amir - Tel-Aviv U., Isreal
Alexandra Balahur-Dobrescu - ISPRA, Italy
Cristina Bosco - U. Torino, Italy
Felix Burkhardt - Deutsche Telekom, Germany
Antonio Camurri - U. Genova, Italy
Montse Cuadros - VicomTech, Spain
Francesca Frontini - CNR, Italy
Carlos Iglesias - UPM, Spain
Diana Maynard - University of Sheffield, UK
Sapna Negi - Insight Centre for Data Analytics, NUIG, Ireland
Viviana Patti - U. Torino, Italy
German Rigau - EHU, Spain
Albert Salah - Boğaziçi University, Turkey
Jianhua Tao - CAS, P.R. China
Michel Valstar - U. Nottingham, UK
Benjamin Weiss - Technische Universität Berlin, Germany
Ian Wood - Insight Centre for Data Analytics, NUIG, Ireland