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pset6-nlp

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Natural language processing tasks and techniques. Constituency parsing with context-free grammars. Language modeling with n-grams. Bag-of-words model and Naïve Bayes classifier for text categorization. Information retrieval with TF-IDF. Automatic template generation for information extraction. Distributed word representation via Word2Vec (Skip-gram).

  • Parser: Parse sentences and extract noun phrases.

python parser.py

  • Questions: Answer questions based on a corpus of text.

python questions.py corpus