We would like to cordially invite you to consider contributing a paper to FETLT16. This workshop has been conceived as a meeting point where experts and professionals in the fields of language technologies and other converging areas can discuss the state of the art, as well as the emerging trends in the sector.
Language technologies have become a prominent area of research, development and innovation. New trends and proposals in this field will have an impressive social impact in the near future. Therefore, the workshop will welcome contributions describing results and ongoing projects exploring new tendencies, techniques and approaches. Among them, we would like to place a special emphasis on the convergence between Language Technologies, Machine Learning and Big Data.
The Workshop "Future and Emerging Trends in Language Technology" has been conceived as a meeting point where experts and professionals in the fields of language technologies and other converging areas will discuss the state of the art, as well as the emerging trends in the sector. The main objective of this workshop is to serve as a bridge between academia and industry, as well as representatives of agencies that coordinate research and innovation policies. The workshop thus guarantees a multidisciplinary common spirit in which experts will be able to present and analyze the trends that will shape the immediate future as well as the mid-term vision in this sector.
Following this approach, the organizing committee of the workshop welcomes the reception of papers under the following categories:
New Applications of Key Consolidated Approaches
Authors can submit their paper on new strategies, models and consolidated techniques at the academic or industrial levels that are being used right now to tackle any issue in the field of Language Technology, as well as in the interconnection of this field with Machine Learning and Big Data. Papers under this category must provide a brief explanation of the foundations of the approaches proposed and the areas and applications for which those techniques are useful in the present.
Authors can submit their paper under this category when they have preliminary results obtained from ongoing research projects. Papers must describe the motivation of the approach, as well as the scientific, methodological and/or technological approach chosen. Papers must also analyze the advantages and benefits derived from such approaches for a broad application in the field of Language Technology, and the rest of convergent areas related to it.
Authors can submit a paper on different fields and convergent areas related to Language Technology describing the occurrence of new and constant challenges for both the academic and the industrial areas. These papers must indicate which areas and specific problems are currently posing a concrete technological and/or methodological challenge. Papers under this category must include the reasons why present-day techniques should be considered insuficient to tackle the issues at hand by the presentation of preliminary research/development results as a justification. Additionally, articles in this section should propose research strategies that can be considered promising to provide sound solutions to the problems defined, with a solid and clear scientific and technical argumentation.
List of Topics
Topics should be related to any area of Speech and Text Technology, including those studies that can be considered coming from convergent areas or even industrial applications.
Topics of interest include, but are not restricted to:
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
- 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
- Language resources and Evaluation
- Multilingual resources
- Metadata, annotation, tools
- Machine Learning
- Active learning
- Reinforcement learning
- Deep learning
- 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
- LT in the Web World
- Crowdsourcing for LT
Authors are invited to submit non-anonymized papers in English presenting original and unpublished research, not currently submitted elsewhere.
Regular papers should not exceed 12 single-spaced pages (including eventual appendices) and should be formatted according to the standard format for Springer Verlag LNCS series (details here).
Files must be sent via easychair conference page.
Papers submitted must identify the category as well as up to 3 of the main topics aforementioned.
|Paper submission deadline||21st August 2016|
|Acceptance notification||10th October 2016|
|Paper final version submission||20th October 2016|