most citedText to Insight: Accelerating Organic Materials Knowledge Extraction via Deep Learning

1 citations · 1 across the 4 of their papers we have counts for

collaborators

5 papers

cs.DL2021

FAIR Metadata: A Community-driven Vocabulary Application

Christopher B. Rauch, Mat Kelly, John A. Kunze +1

FAIR metadata is critical to supporting FAIR data overall. Transparency, community engagement, and flexibility are key aspects of FAIR that apply to metadata. This paper presents Y…

cs.CL2021

Clustering and Network Analysis for the Embedding Spaces of Sentences and Sub-Sentences

Yuan An, Alexander Kalinowski, Jane Greenberg

Sentence embedding methods offer a powerful approach for working with short textual constructs or sequences of words. By representing sentences as dense numerical vectors, many nat…

cs.CL20211 cited

Text to Insight: Accelerating Organic Materials Knowledge Extraction via Deep Learning

Xintong Zhao, Steven Lopez, Semion Saikin +2

Scientific literature is one of the most significant resources for sharing knowledge. Researchers turn to scientific literature as a first step in designing an experiment. Given th…

cs.DL2021

DARSI: An Ontology for Facilitating the Development of Data Sharing and Use Agreements

M. Greene, S. Grabus, J. Greenberg

The advantages of data sharing across organizations and disciplines are indisputable; although, sensitive and restricted data cannot be easily shared due to policies and legal matt…

cs.DL2020

The role of metadata in reproducible computational research

Jeremy Leipzig, Daniel Nüst, Charles Tapley Hoyt +3

Reproducible computational research (RCR) is the keystone of the scientific method for in silico analyses, packaging the transformation of raw data to published results. In additio…