Keynote - Natural Language Processing: Challenges and Next Frontiers
summary
Overview of core NLP difficulties—especially ambiguity and variability across domains, languages and media—and why these cause problems for models trained on limited annotated data. Describes combining deep multi-task learning with diverse (“fortuitous”) data sources and multi-view learning as an approach to improve robustness and to enable learning when annotations are scarce or absent.
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