Events

• 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 (including Linked Data, Knowledge Graphs, etc.)
•   LRs and Crowdsourcing
•   Metadata for LRs and semantic/content mark-up

Exploitation of LRs in systems and applications

•  Sign language, multimedia information and multimodal communication
•  LRs in systems and applications such as: information extraction, information retrieval, audio-visual and multimedia search, speech dictation, meeting transcription, Computer Aided Language Learning, training and education, mobile communication, machine translation, speech translation, summarisation, semantic search, text mining, inferencing, reasoning, sentiment analysis/opinion mining, etc.
•  Interfaces: (speech-based) dialogue systems, natural language and multimodal/multisensory interactions, voice-activated services, etc.
•  Use of (multilingual) LRs in various fields of application like e-government, e-participation, e-culture, e-health, mobile applications, digital humanities, social sciences, etc.
•  Industrial LRs requirements
•  User needs, LT for accessibility

LRs in the age of deep neural networks

•  Semi-supervised, weakly-supervised and unsupervised machine learning approaches
•  Representation Learning for language
•  Techniques for (semi-)automatically generating training data
•  Cross-language NLP & Cross-domain NLP with reduction of human effort

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 initiatives
•   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
•   Replicability and reproducibility issues
•   Organisational, economical, ethical and legal issues