Representations for Language: From Word Embeddings to Sentence Meanings (2017) - YouTube
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[Slides](/doc/?uri=https%3A%2F%2Fnlp.stanford.edu%2Fmanning%2Ftalks%2FSimons-Institute-Manning-2017.pdf) **What's special about human language? the only hope for explainable intelligence**. Symbols are not just an invention of logic / classical AI. Meaning: a solution via distributional similarity based representations. One of the most successfull ideas of modern NLP. > You shall know a word by the company it keeps (JR Firth 1957) The BiLSTM hegemony Neural Bag of words > "Surprisingly effective for many tasks :-(" [cf "DAN", Deep Averaging Network, Iyyver et al.](/doc/?uri=http%3A%2F%2Fwww.cs.cornell.edu%2Fcourses%2Fcs5740%2F2016sp%2Fresources%2Fdans.pdf)
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