Language Technologies must be considered an area of particular relevance both at the academic and industrial levels. In recent years, several programs have been designed to promote research and development, entrepreneurship and innovation that have highlighted the key role of these technologies for progress and society.
At the European level, we have witnessed a strong funding action in the field from the 7th Framework Programme to the H2020 that have resulted in the creation of what has been called the European Multilingual Digital Single Market. In Spain, for example, the government presented a Plan to Promote Language Technologies with an estimated investment of over 70 million euros.
In 2015, a group of professors and researchers at the University of Seville faced the challenge to convene a workshop where experts from different countries could meet to analyze emerging trends in this field so that they could also envision the pace for the future.
The event took place with the name First Workshop Future and Emerging Trends in Language Technology (FETLT'15). This workshop was organized around a series of Keynote Speakers: Steve Young (University of Cambridge), Sebastian Möller (TU Berlin), Pierre-Paul Sondag (European Commission). Four coordinators of active European-funded research projects gave specialized conferences: Núria Bel (Pompeu Fabra University), Asunción Gómez-Pérez (Technical University of Madrid), Giuseppe Riccardi (University of Trento) and Steve Renals (University of Edinburgh).
Several other researchers could also share their results in a peer-reviewed process that resulted in 10 papers been presented at the workshop. All conferences and papers are being published by Springer in the series Lecture Notes in Artificial Intelligence, volume 9577.
Core Areas of Interest:
Speech recognition
Voice search
Quality of speech recognition
Disfluency processing
Speaker identification
Forensic linguistics
Voice-enabled personal assistants
Semantics and ontologies
Information retrieval, information extraction, text mining and question answering
Topic spotting and classification
Named entities / entity extraction
Summarization
Spoken document retrieval
Semantics and ontologies
Conversational systems, dialogue modelling and management
Open domains, incrementality, statistical DM, hybrid models, world knowledge, metacognition
Machine translation
Fully-automated MT services in global business and government services
Speech-to-speech MT
Development Frameworks
Multimodality
Multilinguality
Language resources and Evaluation
Multilingual resources
Metadata, annotation, tools
Machine Learning
Active learning
Reinforcement learning
Deep learning
Applications
Big Data
Social media, Sentiment analysis and Opinion mining
Mathematical foundations
Convergent Areas of Interest:
Mobile Devices
Robotics and Vision
Games & Social Networks
Brain-computer Interfaces
Technology background: Mobile, Cloud, etc.
The Internet of Things (IoT)
Industrial Areas of Interest
Integration of state-of-the-art LT in support of multilingual global business applications
Speech-to-Speech Translation
Cross-lingual Information Retrieval
Multilingual global marketing
Sentiment analysis
Applications to industrial sectors
Healthcare and BioMedicine NLP
Social Media
Smart Cities
Opinion Mining
Public Administration
Instruction & Teaching
Communications
LT in the Web World
Crowdsourcing for LT
11月30日
2016
12月02日
2016
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