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