Chair: Artem Revenko
This forum aims at bringing together, on the one hand, researchers from across disciplines concerned with the use of language data, the development of language methods and implementation of language service and, on the other hand, the industries consuming those data and services.
Language technologies increasingly rely on large amounts of data. Better access and usage of language resources will enable the provision of multilingual solutions that will support the emerging Digital Single Market in Europe. However data is rarely ‘ready-to-use’ and language technology specialists spend over 80% of their time on cleaning, organizing and collecting datasets. Reducing this effort promises huge cost savings for all sectors where language technologies are required.
Submission:
Read the call
Submission via EasyChair on https://easychair.org/conferences/?conf=else-if19
- Abstract Submission Deadline: July 9, 2019 (11:59 pm, Hawaii time)
- Notification of Acceptance: July 30, 2019
- Camera-Ready Paper: August 12, 2019 (11:59 pm, Hawaii time)
Invited Speakers:
- Georg Rehm (DFKI)
- Luc Mertens
Topics
Topics cover, but are not limited to:
Language Services
- Question answering and semantic search
- Text analytics on Big Data
- Semantic content management
- Computer-aided Language Learning
- Natural language interfaces to (big) data
- Knowledge-based NLP
- Other applications
Language Data
- Language data construction and acquisition
- Language data annotation
- Language data portals and metadata about language data
- Organizational and infrastructural management of language data
- Multilingual, multimedia and multimodal language data
- Evaluation, provenance and quality of language data
- Usability, validation and visualization of language data
- Standards and interoperability of language data
- Legal aspects of publishing language data
- Typological databases
- Under-resourced languages
Knowledge Graphs
- Linguistic Linked Data and Multilingual Semantic Web
- Ontologies, terminology, wordnets and lexical resources
- Information and knowledge extraction (taxonomy extraction, ontology learning)
- Data, information and knowledge integration across languages
- (Cross-lingual) Ontology Alignment
- Entity linking and relatedness
- Linked Data profiling
- Knowledge representation and reasoning
Slidedecks:
Who should attend?
- Ontologists
- Linguists
- Computational Linguists
- (Dictionary) Editors
- Software Engineers
- Natural Language Processing Engineers Machine Learning Engineers
- Data Scientists
Why should I attend?
You will learn the latest tools, trends and developments from first hand. Top experts will show how to use most advanced language tools in different use cases to create real added value for your processing workflows. The following important aspects of the language technology stack will be covered:
- Vocabularies and Interfaces: unification of access to language resources and services.
- Transformation into and between representations: improve interoperability and ease the consumption of resources.
- Workflow management: higher portability and improved metadata transparency, sustainability and re-usability through declarative metadata firmly grounded in Semantic Web standards
- Linking : enriched interlinked data yielding more added value for the services.
- Search : federated search across many different repositories improving the discoverability of language resources.
You will meet many new people from your own domain, but also beyond your professional boundaries. This diversity will awaken your creativity and open up new opportunities.
We won’t let you leave without seeing and enjoying Karlsruhe. The social events will be fun.
