Future and Emergent Trends in Language Technology First International Workshop, FETLT 2015, Seville, Spain, November 19-20, 2015, Revised Selected Papers /

• Corporate Author: SpringerLink (Online service)
• Other Authors: Quesada, José F. (Editor), Martín Mateos, Francisco-Jesús (Editor), Lopez-Soto, Teresa (Editor)
• Format: Electronic eBook
• Language: English
• Published: Cham : Springer International Publishing : Imprint: Springer, 2016.
• Series: Lecture Notes in Computer Science, 9577
• Subjects: Computer science.; Algorithms.; Database management.; Data mining.; Information storage and retrieval.; Artificial intelligence.; Computer Science.; Artificial Intelligence (incl. Robotics).; Information Systems Applications (incl. Internet).; Information Storage and Retrieval.; Database Management.; Data Mining and Knowledge Discovery.; Algorithm Analysis and Problem Complexity.

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...

Table of Contents:

• 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. .