eugene-yang / ir-tutorial-notebooks

JHU JSALT Summer School IR Laboratory

This repository contains notebooks modified from

• CIKM 2021 Tutorial -- IR From Bag-of-words to BERT and Beyond through Practical Experiments and
• SIGIR 2023 Tutorial -- Neural Methods for CLIR Tutorial.

Please refer to the repository of the two tutorials for more details.

Agenda

Slides: JHU One Drive

• Part 1: Statistical Retrieval Model with PyTerrier
  • Part 1.1: CLIR BM25 with Anserini
• Part 2: Retrieval Pipeline with PyTerrier
• Part 3: More piplines using neural models
  • Part 3.1: Reranking using Cross-Encoder
• Part 4: End-to-End Neural IR (with CLIR as Example)
  • Part 4.1: CLIR with DPR
  • Part 4.2: CLIR with PLAID-X
  • Part 4.3: CLIR with BLADE

Citation

If you would like to cite the two tutorials, please use the following Bibtex.

@inproceedings{cikm2021-tut-bow2b,
  author = {MacAvaney, Sean and Macdonald, Craig and Tonellotto, Nicola},
  title = {IR From Bag-of-words to BERT and Beyond through Practical Experiments: A CIKM 2021 tutorial with PyTerrier and OpenNIR},
  booktitle = {Proceedings of CIKM 2021},
  year = {2021}
}

@inproceedings{sigir2023-clir-tutorial,
	author = {Eugene Yang and Dawn Lawrie and James Mayfield and Suraj Nair and Douglas W. Oard},
	title = {Neural Methods for Cross-Language Information Retrieval},
	booktitle = {Proceedings of the 46th International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR) (Tutorial)},
	year = {2023},
}