斯坦福CS224 NLP课程-课件lecture01/cs224n-2017-lecture1

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斯坦福CS224 NLP课程-课件lecture01 深度学习与NLP专栏地址:https://blog.csdn.net/qq_34243930/column/info/31958 深度学习与NLP绪论视频课: https://m.weike.fm/lecture/10194068 笔记:https://blog.csdn.net/qq_34243
1. What is Natural Language Processing(NLP)? Natural language processing is a field at the intersection of ° computer science artificial intelligence ° and linguistics. Goal: for computers to process or understand" natura language in order to perform tasks that are useful, e. g Performing Tasks, like making appointments buying things ° Question Answering Siri, google assistant Facebook M, cortana thank you mobile! ! Fully understanding and representing the meaning of language for even defining it is a difficult goal Perfect language understanding is Al-complete NLP Levels speec h text Phonetic/Phonological Analysis OCRTokenization Morphological analysis Syntactic analysis Semantic Interpretation Discourse Processing (A tiny sample of) NLP Applications Applications range from simple to complex Spell checking, keyword search, finding synonyms Extracting information from websites such as product price, dates, location, people or company names Classifying reading level of school texts, positive/negative sentiment of longer documents Machine translation Spoken dialog systems Complex question answering NLP in industry .o is taking off Search (written and spoken Online advertisement matching Automated/ assisted translation Sentiment analysis for marketing or finance /trading Speech recognition Chatbots/Dialog agents Automating customer support ° Controlling devices ° Ordering goods rd Univ KaL What's special about human language? guage a human language is a system specifically constructed to convey the speaker/writers meaning Not just an environmental signal, it's a deliberate communication Using an encoding which little kids can quickly learn(amazingly a human language is a discrete/symbolic/categorical signaling system rocket=米;voin= With very minor exceptions for expressive signaling I loooove it. Whoomppaaa) Presumably because of greater signaling reliability Symbols are not just an invention of logic classical al hat's special about human language? The categorical symbols of a language can be encoded as a signal for communication in several ways Sound Gesture ages(writing The symbol is invariant across different encodings 则 urcttin Sr tue efmuiitet e : dalit)acpi rie sittutie o 红 teluciferutm gcruite2uraui Ie u ceotrietuue confieghit st CC BY 2.0 David fulmer 2008 National Library of NZ, no known restrictions rd Univ KaL What's special about human language? guage a human language is a symbolic/ categorical signaling system However, a brain encoding appears to be a continuous pattern of activation, and the symbols are transmitted via continuous signals of sound/vision We will explore a continuous encoding pattern of thought The large vocabulary symbolic encoding of words creates a problem for machine learning - sparsity lab 2. What's Deep Learning (DL)? Deep learning is a subfield of machine learning Most machine learning methods work Feature NER well because of human-designed Current word Previous word representations and input features Next word Current Word Character n-gram For example: features for finding Current pos tag Surrounding pos tag sequence named entities like locations or Current Word Shape Surrounding Word Shape Sequence organization names (Finkel et al., 2010 ): Presence o word in Right window Size 4 Machine learning becomes just optimizing weights to best make a final prediction

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