Natural Language Processing

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· Intro and text classification- Processing Text using Perl • Use of Regular Expressions • Elements of Morphology • Character N-gram Based Text Mining • Text Classification

· Language modeling and sequence tagging- texts as sequences of words. language modeling and use for suggests in search, machine translation, chat-bots, etc predict a sequence of tags for a sequence of words. part-of-speech tags, named entities or any other tags • Probabilistic Modeling • N-grams Model • HMM Model • Sum-product Algorithms

· Vector Space Models of Semantics- higher abstraction for texts: vectors representing meanings traditional models of distributional semantics, cover modern tools for word and sentence embeddings, such as word2vec, FastText, StarSpace

· Syntactic Processing- Phrase Structure and Natural Language Syntax • Chart Parsing and CYK Algorithm • Probabilistic Context-Free Grammars

· Sequence to sequence tasks- a sequence to sequence task: machine translation, summarization, question answering, a general encoder-decoder-attention architecture

· Dialog systems- task-oriented dialog systems like Apple Siri or Amazon Alexa. main building blocks of such systems namely Natural Language Understanding (NLU) and Dialog Manager (DM)

· Unification-based NLP and Semantics- • First-order Predicate Logic and Resolution • Classical and Feature-structure Unification • Unification-based Grammars