Literature Retrieval for Precision Medicine with Neural Matching and Faceted Summarization

@article{Noh2020LiteratureRF,
  title={Literature Retrieval for Precision Medicine with Neural Matching and Faceted Summarization},
  author={Jiho Noh and Ramakanth Kavuluru},
  journal={Findings of the Association for Computational Linguistics: EMNLP 2020},
  year={2020},
  volume={2020},
  pages={3389–3399}
}
Information retrieval (IR) for precision medicine (PM) often involves looking for multiple pieces of evidence that characterize a patient case. This typically includes at least the name of a condition and a genetic variation that applies to the patient. Other factors such as demographic attributes, comorbidities, and social determinants may also be pertinent. As such, the retrieval problem is often formulated as ad hoc search but with multiple facets (e.g., disease, mutation) that may need to… 

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