LREC 2016 - Language Resources and Evaluation Conference

ELRA is glad to announce the 10th edition of LREC, organised with the support of a wide range of international organisations.
CONFERENCE AIMS
LREC is the major event on Language Resources (LRs) and Evaluation for Human Language Technologies (HLT). LREC aims to provide an overview of the state-of-the-art, explore new R&D directions and emerging trends, exchange information regarding LRs and their applications, evaluation methodologies and tools, on-going and planned activities, industrial uses and needs, requirements coming from e-science and e-society, with respect both to policy issues and to scientific/technological and organisational ones.
LREC provides a unique forum for researchers, industrials and funding agencies from across a wide spectrum of areas to discuss problems and opportunities, find new synergies and promote initiatives for international cooperation, in support of investigations in language sciences, progress in language technologies (LT) and development of corresponding products, services and applications, and standards.
CONFERENCE TOPICS
Issues in the design, construction and use of LRs: text, speech, multimodality
Guidelines, standards, best practices and models for LRs interoperability
Methodologies and tools for LRs construction and annotation
Methodologies and tools for extraction and acquisition of knowledge
Ontologies, terminology and knowledge representation
LRs and Semantic Web
LRs and Crowdsourcing
Metadata for LRs and semantic/content mark-up
Best practices in the use of LR citations
Exploitation of LRs in systems and applications
Multimedia information and multimodal communication , including Sign Languages
LRs in systems and applications such as: information extraction, information retrieval, audio-visual and multimedia search, speech dictation, audio-visual transcriptions and annotations, computer aided language learning, training and education, mobile communication, machine translation, speech translation, summarisation, semantic search, text mining and analytics, inferencing, reasoning, sentiment analysis, etc.
Interfaces: (speech-based) dialogue systems, natural language and multimodal/multi-sensory interactions, voice-activated services, etc.
Use of (multilingual) LRs in various fields of application like e-commerce, e-government, e-culture, e-health, e-participation, mobile applications, digital humanities, Digital Service Infrastructures, etc.
Industrial LRs requirements, user needs
Issues in LT evaluation
LT evaluation methodologies, protocols and measures
Validation and quality assurance of LRs
Benchmarking of systems and products
Usability evaluation of HLT-based user interfaces and dialogue systems
User satisfaction evaluation
General issues regarding LRs & Evaluation
International and national activities, projects and collaboration
Priorities, perspectives, strategies in national and international policies for LRs
Multilingual issues, language coverage and diversity, less-resourced languages
Open, linked and shared data and tools, open and collaborative architectures
Organisational, economical, ethical and legal issues.
LREC 2016 HOT TOPICS
LRs for Actionable Knowledge
Important information to support a range of applications is hidden in Big Data. Automated content analytics is needed for the interpretation of the data and their context, so that it is accurately understood and can be integrated and used in applications. Content analytics makes use of various technologies, like semantic search, keyword suggestions, clustering, classification, etc. What is the role of LRs in such correlation of digital content and context? Can for example relations between LRs and Knowledge Graphs for entity linking, disambiguation, reasoning, etc. support the generation of actionable knowledge in Big Data analytics?
More generally we would like to bring to discussion all issues related to LRs and evaluation means for semantic processing in the Big Data environment.
LRs for Interaction with Devices
There is a growing interest in adapting and improving Natural Language Processing for providing intelligent language interfaces to all kind of devices that are connected to the Internet (of Things), and also to robots, sensors and the like. We encourage investigating how to relate LRs in this communication set-up with data that are in principle of a non-linguistic nature. How to improve multilingual and multimodal generation of information from sensors, robots and in general from structured data in the Internet of Things? How can LRs optimally be designed and used in this (bi-directional) interaction? How to combine language and sensor streams in multilingual and multimodal virtual worlds?
Are there new or past approaches to Human-Machine dialogue offering easily adaptable solutions, so that we need “only” to upgrade them to the enormously increased quantity of data and number of interconnected devices?