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MPIE methodology and text corpus information are detailed in the article:

• Question Answering Models for Information Extraction from Perovskite Materials Science Literature
  M. Sipilä, F. Mehryary, S. Pyysalo, F. Ginter, Milica Todorović
  arXiv:2405.15290 (2024)

@article{Sipila2024,
  title = {Question Answering Models for Information Extraction from Perovskite Materials Science Literature},
  author = {M. Sipilä and F. Mehryary and S. Pyysalo and F. Ginter and Milica Todorović},
  journal = {arXiv},
  year = {2024},
  eprint = {2405.15290},
  archivePrefix = {arXiv},
  primaryClass = {cs.CL},
  url = {https://arxiv.org/abs/2405.15290}
}

This tool was supported by:

• Research Council of Finland, with funding through project "Deep Representation Learning and Literature Mining for Materials Discovery (DeeperMaterials)”, grant no. 34569 (2022–2024). PIs: Sampo Pyysalo, Milica Todorović.
• CSC-IT Center for Science Finland, with computational resources through project no. 2006183 “DeeperMaterials: Natural Language Processing for Materials Discovery.”