codingbowoo / nlp

natural language processing(NLP) practice

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nlp

natural language processing(NLP) practice

Implementation

  • POS-tagger(under construction)
  • CKY-Parser
  • HMM-POS-tagger

Course Outline

  1. Introduction
  2. Morphological Analysis
  3. Grammars and Parsing
    1. Formal Grammars of English
    2. Syntactic Parsing
  4. Language Modeling with N-grams
  5. POS Tagging, Sequence Labeling, and HMM
    1. Part Of Speech Tagging
    2. Sequence Labeling
    3. Hidden Markov Models
  6. Statistical Parsing
  7. Neural Shift-Reduce Dependency Parsing
  8. Neural Networks and Neural Language Models + Word Vector
  9. LSTM RNNs and Sequential Labeling
  10. Semantic Processing
    1. Word sense Disambiguation
    2. Semantic Role Labeling
    3. Semantic Grammar
  11. Vector Space(Distributional) Lexical Semantics
  12. Discourse Analysis
    1. Reference Resolution
    2. Text Understanding with World Knowledge
    3. Attentional states
  13. Conversational Agent: Dialog Interface and ChatBot

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natural language processing(NLP) practice


Languages

Language:Python 100.0%