Text Entity Extraction and Match in semi-supervised learning with constraints

Senior Thesis, supervised by Prof Kevin, Chang (UIUC, CS department)

  • Studied natural language processing theories including Information Extraction, Text Classification Model, and Named Entity Recognizer, with a deep investigation on the state-of-art sequential discriminative probabilistic graphical model: Conditional Random Field.
  • Conducted experiments and analysis by utilizing Stanford Named Entity Recognizer (NER) library.
  • Participated in the designing the automatic constraint-learning 
framework.