ES³ 2012 – 4th International Workshop EMOTION SENTIMENT & SOCIAL SIGNALS

ES³ 2012
4th International Workshop on
Satellite of LREC 2012, ELRA
Full Day Workshop on Saturday, 26 May 2012, Istanbul, Turkey

The fourth instalment of the workshop series on Corpora for Research on
Emotion held at LREC aims at further cross-fertilisation between the
highly related communities of emotion and affect processing based on
acoustics of the speech signal, and linguistic analysis of spoken and
written text, i.e., the field of sentiment analysis including figurative
languages such as irony, sarcasm, satire, metaphor, parody, etc. At the
same time, the workshop opens up for the emerging field of behavioural and
social signal processing including signals such as laughs, smiles, sighs,
hesitations, consents, etc.

Besides data from human-system interaction, dyadic and human-to-human data, its labelling and suited models as well as benchmark analysis and evaluation results on suited and relevant corpora are invited. By this, we aim at bridging between these larger and highly connected fields: Emotion and sentiment are part of social communication,
and social signals are highly relevant in helping to better understand
affective behaviour and its context. For example, understanding of a
subject’s personality is needed to make better sense of observed emotional
patterns. At the same time, non-linguistic behaviour such as laughter and
linguistic analysis can give further insight into the state or personality
trait of the subject.

All these fields further share a unique trait: Genuine emotion, sentiment
and social signals are hard to collect, ambiguous to annotate, and tricky
to distribute due to privacy reasons. In addition, the few available
corpora suffer from a number of issues owing to the peculiarity of these
young and emerging fields: As in no related task, different forms of
modelling exist, and ground truth is never solid due to the often highly
different perception of the mostly very few annotators. Due to data
sparseness, cross-validation without strict partitioning including
development sets and without strict separation of speakers and subjects
throughout partitioning are frequently seen.

Topics include, but are not limited to:

+ Novel corpora of affective speech in audio & multimodal data
+ Novel corpora for sentiment & opinion mining analysis
+ Novel corpora of audio & multimodal behavioural & social signals
+ Novel corpora with combined annotation of the above
+ Analysis in speech, language & multimodal cues
+ Rich emotion and personality: dimensional, complex, categories, etc.
+ Figurative languages: irony, sarcasm, satire, metaphor, parody, etc.
+ Social signals: laughs, smiles, sighs, hesitations, consents, etc.
+ Discussion of models for emotion, sentiment & social signals
+ Measures for quantitative corpus quality assessment
+ Standardisation of corpora & labels for cross-corpus testing
+ Real-life applications of language & multimodal resources
+ Long-term recordings of interactional & dyadic communication
+ Rich & novel annotations such as inclusion of situational context
+ Communications on testing protocols
+ Evaluations on novel or multiple corpora
+ New methods for community or distributed annotation
+ Unsupervised learning techniques to exploit additional data
+ Synthesis of data for learning in sparse data tasks
+ Resources for underrepresented languages & cultures
+ Evaluations on novel or multiple corpora

Important Dates
1500-2000 words abstract submission deadline
01 March 2012 (extended)

Notification of acceptance: 12 March 2012
Camera ready paper : 20 March 2012
Workshop: 26 May 2012

Submission Policy
Submitted abstracts of papers for oral and
poster must consist of about 1500-2000 words.

Final submissions should be 4 pages long,
must be in English, and follow the submission guidelines at LREC 2012.

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. For further information on this new initiative, please
refer to


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