Rapidly Deploying a Neural Search Engine for the COVID-19 Open Research Dataset: Preliminary Thoughts and Lessons Learned
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Abstract (arXiv)
We present the Neural Covidex, a search engine that exploits the latest neural ranking architectures to provide information access to the COVID-19 Open Research Dataset curated by the Allen Institute for AI. This web application exists as part of a suite of tools that we have developed over the past few weeks to help domain experts tackle the ongoing global pandemic. We hope that improved information access capabilities to the scientific literature can inform evidence-based decision making and insight generation. This paper describes our initial efforts and offers a few thoughts about lessons we have learned along the way.
Key facts. Cited by 10 papers in the map (data through 7 Oct 2026). First posted on arXiv 10 Apr 2020.
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Citing papers per year: 2021: 4; 2022: 3; 2023: 2; 2024: 1.
10 papers.
- 2021COVID-Fact: Fact Extraction and Verification of Real-World Claims on COVID-19 Pandemiccited by 100
- 2021MS MARCO: Benchmarking Ranking Models in the Large-Data Regimecited by 28
- 2021Yes, BM25 is a Strong Baseline for Legal Case Retrievalcited by 24
- 2022In Defense of Cross-Encoders for Zero-Shot Retrievalcited by 21
- 2022No Parameter Left Behind: How Distillation and Model Size Affect Zero-Shot Retrievalcited by 17
- 2022Billions of Parameters Are Worth More Than In-domain Training Data: A case study in the Legal Case Entailment Taskcited by 8
- 2023Good Data, Large Data, or No Data? Comparing Three Approaches in Developing Research Aspect Classifiers for Biomedical Paperscited by 2
- 2021COVIDRead: A Large-scale Question Answering Dataset on COVID-19cited by 1
- 2023A Practical Entity Linking System for Tables in Scientific Literaturecited by 0
- 2024Health Misinformation in Social Networks: A Survey of IT Approachescited by 0
- 2024Health Misinformation in Social Networks: A Survey of IT Approaches24 Oct 2024
- 2023A Practical Entity Linking System for Tables in Scientific Literature12 Jun 2023
- 2023Good Data, Large Data, or No Data? Comparing Three Approaches in Developing Research Aspect Classifiers for Biomedical Papers7 Jun 2023
- 2022In Defense of Cross-Encoders for Zero-Shot Retrieval12 Dec 2022
- 2022No Parameter Left Behind: How Distillation and Model Size Affect Zero-Shot Retrieval6 Jun 2022
- 2022Billions of Parameters Are Worth More Than In-domain Training Data: A case study in the Legal Case Entailment Task30 May 2022
- 2021COVIDRead: A Large-scale Question Answering Dataset on COVID-195 Oct 2021
- 2021COVID-Fact: Fact Extraction and Verification of Real-World Claims on COVID-19 Pandemic7 Jun 2021
- 2021MS MARCO: Benchmarking Ranking Models in the Large-Data Regime9 May 2021
- 2021Yes, BM25 is a Strong Baseline for Legal Case Retrieval26 Apr 2021