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18 May 2020, Symposium on Integrating Generic and Contextual Knowledge (GeCKo symposium)
Integrating generic and contextual knowledge remains a challenging task in Computational Linguistics and interfacing fields. While current data-driven models excel in capturing broad regularities, they can fail to apply this information to specific situations. The GeCKo symposium seeks to 1) understand the issues involved in the integration of generic and situation-specific information in Computational Linguistics, across applications and research areas; 2) identify ways forward; and 3) cross-fertilize Computational Linguistics with Machine Learning, Linguistics, and Cognitive Science researchers working at this junction.
The GeCKo symposium will feature talks by invited speakers, contributed talks, as well as a poster session preceded by lightning talks.
For the GeCKo symposium we seek contributions dealing with this issue, at the crossroads of Computational Linguistics, Machine Learning, Linguistics, and Cognitive Science; including areas such as Language and Vision, and Machine Translation. We seek contributions of published work as well as unpublished research, of the following, non-exclusive types: Analysis, Modelling, Cross-fertilizing, or Position papers.
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