AWS CORD-19 Search: A Neural Search Engine for COVID-19 Literature-Reference-Cited by-同舟云学术

AWS CORD-19 Search: A Neural Search Engine for COVID-19 Literature

Published:2022 Issue: Volume: Page:131-145
ISSN:1860-949X
Container-title:AI for Disease Surveillance and Pandemic Intelligence
language:
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Author:

Bhatia Parminder,Liu Lan,Arumae Kristjan,Pourdamghani Nima,Deshpande Suyog,Snively Ben,Mona Mona,Wise Colby,Price George,Ramaswamy Shyam,Ma Xiaofei,Nallapati Ramesh,Huang Zhiheng,Xiang Bing,Kass-Hout Taha

Publisher

Springer International Publishing

Link

https://link.springer.com/content/pdf/10.1007/978-3-030-93080-6_11

Reference20 articles.

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2. Beltagy, I., Lo, K., Cohan, A.: Scibert: pretrained language model for scientific text. In: EMNLP (2019)

3. Bhatia, P., Celikkaya, B., Khalilia, M.: Joint entity extraction and assertion detection for clinical text. arXiv preprint arXiv:1812.05270 (2018)

4. Bhatia, P., Celikkaya, B., Khalilia, M., Senthivel, S.: Comprehend medical: a named entity recognition and relationship extraction web service. In: 2019 18th IEEE International Conference On Machine Learning And Applications (ICMLA), pp. 1844–1851 (2019)

5. Blei, D.M., Ng, A.Y., Jordan, M.I.: Latent dirichlet allocation. J. Mach. Learn. Res. 3(Jan), 993–1022 (2003)

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1. Mining the CORD-19: Review of Previous Work and Design of Topic Modeling Pipeline;Artificial Intelligence and Industrial Applications;2023

2. Effective Information Retrieval, Question Answering and Abstractive Summarization on Large-Scale Biomedical Document Corpora;Natural Language Processing and Information Systems;2023

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