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Conference News:1st Workshop on Linguistic and Neuro-Cognitive Resources (LiNCR)!The PolyU Linguistics and Language Technology (LLT) Group will organize Linguistic and Neuro-Cognitive Resources (LiNCR) on 8th May,2018. The workshop description seen as follows:
8 May 2018, co-located with LREC The schedule of the workshop are noted on the belowing files: Call for paper file |
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DescriptionThe LiNCR (pronounced as ‘linker’) workshop aims to provide a venue to explore a new generation of language resources which link and aggregate cognitive behavioural, neuroimaging measurement data to a shared set of richly annotated linguistic data. The issues will include but not limit to the ontology for aggregation of neuro-cognitive data with linguistic facts, how to interpret experimental data when linked to additional linguistic facts, how to design experiments that allow same data sets to be shared by different experimental modality, how to link and normalize data from subjects with special cognitive conditions to the norms, how to link and aggregate multilingual data, and the stochastic solutions for data aggregation and learning. In addition to providing a forum for presenting existing LiNCRs as well as innovative research based on integrated heterogeious datasets, we also welcome project notes and discussions on our proposal that may address issues and challenges arising from new types of LiNCRs. The workshop will also include breakout forums for initial discussion to form consortia for future collaboration.
Motivation and topics of InterestLanguage resources to-date can be described as collections of snapshots of language production. They are in vitro and ready to be tested but do not contain any direct information on the cognitive processes that produced them. That is, the in vivo perspectives of language are missing from them. On the other hand, studies on the neurobiological basis of language processing made significant progresses based on collected neurological, neuroimaging and behavioral datasets. But these experimental data typically focus on strictly controlled stimuli annotated with a single linguistic feature. Hence, the potential of linking richly annotated linguistic facts with experimental data has yet to be realised. The LiNCR workshop aims to bring together experts from computational, corpus, and neuro-cognitive linguistics to bridge this. We hope not only to herald in a new generation of language resources but also to open a new inter-disciplinary frontier in the exploration of human cognition based on LiNCRs. Recent NLP research demonstrates that the incorporation of behavioural data (e.g. eye-tracking) improves modelling on a variety of language tasks (Long et al. 2017). Similarly, cognitive neuroscience studies can benefit from richly annotated linguistic data to uncover the relationship between brain regions and different language subprocesses (Wehbe et al. 2014; Huth et al. 2016). The time is ripe to bring these two fields together, and this workshop aims to advance research in this new frontier by exploring the following topics:
-Corpus selection (Mono/Multi-lingual)
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Accepted as Full Papers(20 min oral presentation slot)
EYE MOVEMENT DATA IS NOT A GOOD CHOICE FOR GROUND TRUTH ON CROSS-LANGUAGE WORD EMBEDDINGS EVALUATION Amir Bakarov |
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Accepted as lightening presentations(5 min oral presentation + 1-page abstract)
THE STROOP-LIKE EFFECT DURING SOUND PERCEPTION TASK IN BILINGUAL MINDS
Libo geng and Lillian Zhao |