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Dagstuhl Seminar: Characters to Natural Language Understanding


The Dagstuhl Leibniz-Zentrum has accepted a proposal for a 5-day seminar entitled "From Characters to Understanding Natural Language". The seminar will be organized by Hinrich Schuetze, Phil Blunsom, Kyunghyun Cho and Chris Dyer in January of 2017. Quote from the proposal: "One hallmark of deep learning is end-to-end learning: all parameters of a deep learning model are optimized directly on the learning objective. Even though deep learning has had a number of successes in NLP, research on true end-to-end learning for NLP is just beginning to emerge. Most NLP deep learning models still start with a hand-engineered layer of representation, the level of tokens or words. This workshop will bring together an interdisciplinary group of researchers from deep learning, machine learning and computational linguistics to develop a research agenda for end-to-end deep learning applied to natural language."