We plan to attract experts on brain and language, on language resources, and on big data and machine learning to look at the potential for collaboration towards building multiply linked and richly aggregated Linguistic and Neuro-Cognitive Resources (LiNCR) as well as methodologies for processing the big data integrated in LiNCR. The participants will work together to address format, methodology, as well as legal issues arising from this highly heterogeneous mix of linguistic, behavioral and physiological datasets (e.g. EEG, ERP, Eye-movement, electrodermal activity, fMRI, MEG, as well as behavioral norms). The issues will range from the ontology for aggregation of different types of neuro-cognitive data with linguistic facts to their usage for the evaluation of NLP tools.
We welcome contributions addressing any of the following aspects of a new generation of language resources that link and aggregate neurological behavioral measurement data to a shared set of richly annotated linguistic data.
*Examples of relevant topics*
- Corpus selection (Mono/Multi-lingual) - Ontology/framework for linking annotations in different modalities - Linking experimental results to linguistically annotated data - Design for multiple neuro-cognitive experimental platforms to share same linguistic data set - Aggregation and normalization of data between population with special cognitive conditions with normal, and across different linguistic backgrounds - Stochastic models for knowledge aggregation.
Regular workshop submissions should consist of 4 to 8 pages, references excluded, and they should adopt the same format of the LREC main conference papers (the submissions are NOT anonymous). The authors will be asked whether they prefer an oral or a poster presentation at submission time.
We also accept as cross-submission papers that might have been presented in other venues and that are relevant for the workshop topics. These will not appear in the conference proceedings and will be presented as posters. The cross-submissions should consist of abstracts of a maximum of 400 words (excluding references).
Submission Deadline: February 17, 2020 Notification of Acceptance: March 11, 2020 Camera-Ready Papers: April 2, 2020 Workshop Date: May 12, 2020
For more info, see https://lincr2020.github.io/
-- Barry Devereux, PhD
Lecturer in Artificial Intelligence and Data Analytics The Institute Of Electronics, Communications And Information Technology School of Electronics, Electrical Engineering and Computer Science Queen's University Belfast, Northern Ireland