Dies ist eine Übersichtsseite mit Metadaten zu dieser wissenschaftlichen Arbeit. Der vollständige Artikel ist beim Verlag verfügbar.
TREC-COVID: Constructing a Pandemic Information Retrieval Test\n Collection
45
Zitationen
9
Autoren
2020
Jahr
Abstract
TREC-COVID is a community evaluation designed to build a test collection that\ncaptures the information needs of biomedical researchers using the scientific\nliterature during a pandemic. One of the key characteristics of pandemic search\nis the accelerated rate of change: the topics of interest evolve as the\npandemic progresses and the scientific literature in the area explodes. The\nCOVID-19 pandemic provides an opportunity to capture this progression as it\nhappens. TREC-COVID, in creating a test collection around COVID-19 literature,\nis building infrastructure to support new research and technologies in pandemic\nsearch.\n
Ähnliche Arbeiten
La certeza de lo impredecible: Cultura Educación y Sociedad en tiempos de COVID19
2020 · 19.307 Zit.
A Multi-Modal Distributed Real-Time IoT System for Urban Traffic Control (Invited Paper)
2024 · 14.302 Zit.
UNet++: A Nested U-Net Architecture for Medical Image Segmentation
2018 · 8.797 Zit.
Review of deep learning: concepts, CNN architectures, challenges, applications, future directions
2021 · 7.407 Zit.
scikit-image: image processing in Python
2014 · 6.841 Zit.