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Teresa López-Soto, Francisco-Jesús Martín Mateos, José F. Quesada (Beteiligte)

Future and Emergent Trends in Language Technology


First International Workshop, FETLT 2015, Seville, Spain, November 19-20, 2015, Revised Selected Papers
Herausgegeben von Quesada, José F.; Martín Mateos, Francisco-Jesús; Lopez-Soto, Teresa
1st ed. 2016. 2016. xx, 161 S. 30 SW-Abb. 235 mm
Verlag/Jahr: SPRINGER, BERLIN; SPRINGER INTERNATIONAL PUBLISHING 2016
ISBN: 3-319-33499-9 (3319334999)
Neue ISBN: 978-3-319-33499-8 (9783319334998)

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This book constitutes the thoroughly refereed post-conference proceedings of the First International Workshop on Future and Emergent Trends in Language Technology, FETLT 2015, held in Seville, Spain, in November 2015.

The 10 full papers presented together with 3 position papers and 7 invited keynote abstracts were selected from numerous submissions. The structure of the Workshop will feature a significant number of experts in language technologies and convergent areas. One objective will be the organization of forum sessions in order to review some of the current-trend research projects that are already addressing new methodological approaches and proposing solutions and innovative applications. A second major objective will be brainstorming sessions where representatives of the most innovative industrial sector in this area can present and describe the challenges and socio-economic needs of the present and immediate future. All researchers are invited to submit proposals that incorporate solid research and innovation ideas in the field of language technology and in connection with other convergent areas.
Motivating New Interaction Experiences Involving Implicit Interaction, Body Sensors, Adaptive, and Persuasive Interfaces.- The SENSEI Project: Making Sense of Human Conversations.- Speech and Dialogue Technologies, Assets for the Multilingual Digital Single Market.- Helping Domain Experts Build Phrasal Speech Translation Systems.- A Speech-to-Speech, Machine Translation Mediated Map Task: An Exploratory Study.- Combining Several User Models to Improve and Adapt the Dialog Management Process in Spoken Dialog Systems.- Exploring Random Indexing for Profile Learning.- Text Categorization by Using Sentiment Composition.- An Approach to Sentiment Analysis for Mobile Speech Applications.- Semantics for Social Media.- Semantic Similarity Reasoning.- Adopting Semantic Similarity for Utterance Candidates Discovery from Human-to-Human Dialogue Corpus.- Modelling Goal Modifications in User Simulation.