AskMe: A LAPPS Grid-based NLP Query and Retrieval System for Covid-19 Literature

Keith Suderman, Nancy Ide, Verhagen Marc, Brent Cochran, James Pustejovsky


Abstract
In a recent project, the Language Application Grid was augmented to support the mining of scientific publications. The results of that ef- fort have now been repurposed to focus on Covid-19 literature, including modification of the LAPPS Grid “AskMe” query and retrieval engine. We describe the AskMe system and discuss its functionality as compared to other query engines available to search covid-related publications.
Anthology ID:
2020.nlpcovid19-2.28
Volume:
Proceedings of the 1st Workshop on NLP for COVID-19 (Part 2) at EMNLP 2020
Month:
December
Year:
2020
Address:
Online
Venues:
EMNLP | NLP-COVID19
SIG:
Publisher:
Association for Computational Linguistics
Note:
Pages:
Language:
URL:
https://aclanthology.org/2020.nlpcovid19-2.28
DOI:
10.18653/v1/2020.nlpcovid19-2.28
Bibkey:
Cite (ACL):
Keith Suderman, Nancy Ide, Verhagen Marc, Brent Cochran, and James Pustejovsky. 2020. AskMe: A LAPPS Grid-based NLP Query and Retrieval System for Covid-19 Literature. In Proceedings of the 1st Workshop on NLP for COVID-19 (Part 2) at EMNLP 2020, Online. Association for Computational Linguistics.
Cite (Informal):
AskMe: A LAPPS Grid-based NLP Query and Retrieval System for Covid-19 Literature (Suderman et al., NLP-COVID19 2020)
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PDF:
https://aclanthology.org/2020.nlpcovid19-2.28.pdf
Data
CORD-19