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.
Slides: JHU One Drive
- Part 1: Statistical Retrieval Model with PyTerrier
- Part 1.1: CLIR BM25 with Anserini
- 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 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
- Part 4.1: CLIR with DPR
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},
}