Sumários

Introduction to Information Extraction

12 outubro 2017, 09:30 • Bruno Emanuel Da Graça Martins

  • Introduction to Information Extraction (IE)
  • IE Problems, Applications and Tasks (e.g., named entity recognition and classification, named entity resolution, relation extraction, etc.)
  • Techniques for Information Extraction
    • Rule-based approaches and regular expressions
    • Introduction to machine learning approaches for IE (e.g., entity recognition as a B-I-O sequence labelling task).

Document classification and clustering

11 outubro 2017, 11:30 • Pável Pereira Calado

  • Document classification/clustering with the Python scikit-learn library
  • Implementing naive Bayes and K-nearest neighbour classifiers
  • Pen-and-paper exercises about document classification with the naive Bayes algorithm

Vector space model for information retrieval

6 outubro 2017, 15:30 • João Miguel Cordeiro Monteiro

  • Vector space model for information retrieval
  • Cosine Similarity

Exercises about the vector space model for information retrieval

6 outubro 2017, 15:30 • Bruno Emanuel Da Graça Martins

  • Exercises about the vector space model for information retrieval
  • Support to the course project

Clustering and Dimensionality Reduction

6 outubro 2017, 12:30 • Pável Pereira Calado

  • The Clustering Hypothesis in Information Retrieval
  • Applications of Clustering and Dimensionality Reduction in Information Retrieval
  • Clustering Techniques
    • Hierarchical Agglomerative Clustering
    • K-Means and Soft K-Means
  • Dimensionality Reduction Techniques
    • Self-Organising Maps
    • Multidimensional Scaling
    • Latent Semantic Indexing