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DILabIntern

2020.12~2021.02 Internship @ Yonsei Univ. DILab


Research Assistant

Dataset

HotpotQA: A Dataset for Diverse, Explainable Multi-hop Question Answering

Glove: Stanford's GloVe 100d word embeddings

Model

AIR-Retriever: Alignment-based Iterative Evidence Retrieval for Multi-hop Question Answering

How to Run?

  1. Download Dataset and Model and put it into the same directory
  2. Prepare requirement for AIR-retriever. (Check readme.md)
  3. Change directory of Air-Retreiver files. Check readme.txt Input data name is 'hotpot_modded_train.json' and 'hotpot_modded_dev' as we first convert HotPotQA to MultiRC to fit into AIR-Retriever
  4. Run Dataset-Builder.ipynb
  5. Use hotpot_dev_distractor_made.json to other QA models!

Papers

Check paper

PDF file with PPTX means it is reviewed.

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2020.12~2021.02 Internship @ Yonsei Univ. DILab

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