Information Retrieval (UFRT)

Information Retrieval (UFRT)

Course taken in the winter semester of the 2013-2014 year at UFRT.

Taught by

• Veronika Peralta
• Patrick Marcel
• Agata Savary
• Jean-Yves Antoine
• Anaïs Lefeuvre

Course Content

Introduction

• Information Retrieval
• NLP Pipeline
  • Tokenization
  • Stop Words Removal
  • Text Normalization
  • Stemming or Lemmatization
  • Spelling Correction
  • Phonetic Normalization (e.g. with Soundex)
• Vector Space Model, TF-IDF
• Inverted Index
• other Information Retrieval Models

Ranking and Rating

• Preferences, Query Expansion, Recommendations
• PageRank: Markov ranking in Web search

Natural Language Processing in IR

• General introduction: applications of NLP and linguistic level of description
• Morphology: linguistic modeling (compound words), Stemming, Lemmatization
• Terminology: motivation and applications
• Morphology and syntax: POS Tagging, Named Entities Recognition
• Syntax: parsing

Semantic Analysis

• (Mentioned in the course description, but wasn’t taught)
• Semantic processing for information retrieval: Latent Semantic Analysis