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ES³LOD 2014 : 5th International Workshop on EMOTION, SOCIAL SIGNALS, SENTIMENT & LINKED OPEN DATA | |||||||||||||||
Link: http://emotion-research.net/sigs/speech-sig/es3lod | |||||||||||||||
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Call For Papers | |||||||||||||||
ES³LOD 2014
5th International Workshop on EMOTION, SOCIAL SIGNALS, SENTIMENT & LINKED OPEN DATA Satellite of LREC 2014, ELRA, 1.5 Day Workshop on 26/27 May 2014 Reykjavik, Iceland http://emotion-research.net/sigs/speech-sig/es3lod Scope -------------- The fifth instalment of the highly successful series of Corpora for Research on Emotion held at the last LRECs (2006, 2008, 2010, 2012) will help bridging the gap between research on human emotion, social signals and sentiment from speech, text, and further modalities, and low availability of language and multimodal resources and labelled data for learning and testing. Following LREC 2014\u2019s hot topics of Big Data and Linked Open Data in particular also approaches on semi-automated and collaborative labelling of large data archives such as by efficient combinations of active learning and crowd sourcing will be of interest \u2013 in particular also for combined annotations of emotion, social signals, and sentiment. 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. Linked Open Data is an increasingly wide-spread methodology for the publishing, sharing and interlinking of data sets. In the context of this workshop we are also interested in reports on and experiences with the use of Linked Open Data in the context of emotion, social signals, and sentiment in analysis projects and applications. As before, also the multimodal community is invited and encouraged to contribute new corpora, perspectives and findings \u2013 emotion, sentiment, and social behaviour are multimodal and complex and there is still an urgent need for sufficient naturalistic uni- and multimodal data in different languages and from different cultures. Keynote speeches by distinguished researchers and technical demonstrations crossing the communities involved will contribute to the attractiveness of the workshop. A best paper award will be given. Topics include, but are not limited to: Novel corpora of affective speech in audio and multimodal data Corpora of written language/multimodal data for sentiment analysis Corpora of audio/multimodal data of behaviour and social signals Interlinking resources with Linked Data Techniques for integration and merging of different resources Use of Linked Open Data knowledge resources (DBpedia, Yago, etc.) New methods for community or distributed annotation Semi-autonomous learning on Big Data Resources and analysis of social emotions (shame, pride, etc.) Figurative languages (irony, metaphor, parody, sarcasm, satire, etc.) Social signals (consents, laughs, sighs, hesitations, etc.) Discussion of models for annotation and representation Multi- and cross-corpus aspects (transfer learning, standardization) Real-life applications of language and multimodal resources Long-term resources, situational and demographic context inclusion Resources for under-represented languages and cultures Publishing as Linguistic Linked Data (e.g. lemon, Marl, Onyx, NIF) Legal and social aspects of semantic and language resources Cultural bias and normalisation in expression and social signalling Important Dates --------------------------------- 1500-2000 words abstract submission deadline 10 February 2014 Notification of acceptance 5 March 2014 Camera ready paper 15 March 2014 Workshop 26/27 May 2014 Submission Policy -------------------------------- Submitted abstracts of papers for oral and poster must consist of about 1500-2000 words. Final submissions must follow the submission guidelines at LREC 2014 Regular papers (8 pages) Short papers (4 pages) Demo papers (2-4 pages) 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, replicability of experiments, including evaluation ones, etc... Organisers ---------------------- Björn Schuller TUM/Imperial College, UK Paul Buitelaar NUI Galway, Ireland Laurence Devillers U. Sorbonne/CNRS-LIMSI, France Catherine Pelachaud CNRS - LTCI, France Thierry Declerck DFKI, Germany Anton Batliner FAU/TUM, Germany Paolo Rosso U. Politèc. Valencia, Spain Seán Gaines Vicomtech-IK4, Spain Program Committee ------------------------------------ Rodrigo Agerri, EHU, Spain Noam Amir, Tel-Aviv U., Isreal Elisabeth André, U. Augsburg, Germany Alexandra Balahur-Dobrescu, ISPRA, Italy Cristina Bosco, U. Torino, Italy Felix Burkhardt, Deutsche Telekom, Germany Carlos Busso, UT Dallas, USA Rafael Calvo, U. Sydney, Australia Erik Cambria, NUS, Singapore Antonio Camurri, U. Genova, Italy Mohamed Chetouani, UPMC, France Montse Cuadros, VicomTech, Spain Francesco Danza, Expert System, Italy Thierry Dutoit, U. Mons, Belgium Anna Esposito, IIASS, Italy Francesca Frontini, CNR, Italy Hatice Gunes, Queen Mary U., UK Hayley Hung, TU Delft, the Netherlands Carlos Iglesias, UPM, Spain Isa Maks, VU, the Netherlands Daniel Molina, Paradigma Tecnologico, Spain Monica Monachini, CNR, Italy Shrikanth Narayanan, USC, USA Viviana Patti, U. Torino, Italy German Rigau, EHU, Spain Fabien Ringeval, U. Fribourg, Switzerland Massimo Romanelli, Attensity EUROPE, Germany Albert Ali Salah, Bo\u011faziçi University, Turkey Metin Sezgin, Koc U., Turkey Carlo Strapparava, FBK, Italy Jianhua Tao, CAS, P.R. China Tony Veale, UCD, Ireland Michel Valstar, U. Nottingham, UK Alessandro Vinciarelli, U. Glasgow, UK Piek Vossen, VU, the Netherlands |
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