👷 Introduction to Information Retrieval
Relevance feedback, query expansion, text classification, (and a lot more) 24. 4. 2024
Lecture
Lecture slides: Relevance feedback and Query expansion
Slides for chapter 9 of Manning et al. book
Lecture slides: Text classification and Naive Bayes
Slides for chapter 13 of Manning et al. book
and for self-study:
Lecture slides: Learning to rank
Part 2 of slides for chapter 15 of Manning et al. book
Readings (lectures)
Relevance feedback and query expansion
Chapter 9 from the Introduction to Information Retrieval book by Manning et al. (2008)
Text classification and Naive Bayes
Chapter 13 from the Introduction to Information Retrieval book by Manning et al. (2008)
Vector space classification
Chapter 14 from the Introduction to Information Retrieval book by Manning et al. (2008)
Support vector machines and machine learning on documents
Chapter 15 from the Introduction to Information Retrieval book by Manning et al. (2008)
Readings (seminar)
Contrastive Representation Learning: A Framework and Review
A 2020 paper by Phuc et al.
Learning to rank
A Wikipedia article about learning to rank
Deep Metric Learning to Rank
A 2019 paper by Cakir et al.
Dense Passage Retrieval for Open-Domain Question Answering
A 2020 paper by Karpukhin et al.
Sentence-BERT: Sentence Embeddings using Siamese BERT-Networks
A 2019 paper by Reimers and Gurevych
Seminar
Supervised information retrieval
Exercise solution for seminars in the tenth week
Google Colab
Google Colaboratory code for seminars in the tenth week