从自然语言分析到人工智能.pptx

From Natural Language Processing to Artificial Intelligence;“ It is not my aim to surprise or shock you – but the simplest way I can summarize is to say that there are now in the world machines that think, that learn and that create. Moreover, their ability to do these things is going to increase rapidly until – in a visible future – the range of problems they can handle will be coextensive with the range to which the human mind has been applied. ”;“ It is not my aim to surprise or shock you – but the simplest way I can summarize is to say that there are now in the world machines that think, that learn and that create. Moreover, their ability to do these things is going to increase rapidly until – in a visible future – the range of problems they can handle will be coextensive with the range to which the human mind has been applied. ”;“ It is not my aim to surprise or shock you – but the simplest way I can summarize is to say that there are now in the world machines that think, that learn and that create. Moreover, their ability to do these things is going to increase rapidly until – in a visible future – the range of problems they can handle will be coextensive with the range to which the human mind has been applied. ”;This is disappointing because we want to;To understand language, computers need to understand the world;Grounded Understanding;;;;Bag-of-words representation;Give rare words a boost;Topic Modeling (LDA);LDA of my tweets shown in pyLDAvis;Sentiment analysis: How the author feels about the text;;Manually Constructing Representations;Manually Constructing Representations;Manually Constructing Representations;WordNet;WordNet;FrameNet;ConceptNet;YAGO: Yet Another Great Ontology;SUMO: Suggested Upper Merged Ontology;Image Schemas;Semantic Web (Linked Data);;World models;Dimensions of models;;Merge representations with models;;;;;word2vec;word2vec;word2vec meaning;;seq2seq model;Encoding sentence meaning into a vector;Encoding sentence meaning into a vector