Document Retrieval for Biomedical Question Answering with Neural Sentence Matching

@article{Noh2018DocumentRF,
  title={Document Retrieval for Biomedical Question Answering with Neural Sentence Matching},
  author={Jiho Noh and Ramakanth Kavuluru},
  journal={2018 17th IEEE International Conference on Machine Learning and Applications (ICMLA)},
  year={2018},
  pages={194-201}
}
  • Jiho Noh, Ramakanth Kavuluru
  • Published 1 December 2018
  • Computer Science
  • 2018 17th IEEE International Conference on Machine Learning and Applications (ICMLA)
Document retrieval (DR) forms an important component in end-to-end question-answering (QA) systems where particular answers are sought for well-formed questions. [] Key Method At the core of our approach is a question-answer sentence matching neural network that learns a measure of relevance of a sentence to an input question in the form of a matching score.

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