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ZENODO
Software . 2021
Data sources: Datacite
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ZENODO
Software . 2021
Data sources: Datacite
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ZENODO
Software . 2021
Data sources: ZENODO
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PRESIDE-lm NER Model

integration_instructionsResearch softwarekeyboard_double_arrow_right Software 11 Oct 2021 English Publisher:Zenodo
Authors: SCALES OKN;

doi: 10.5281/zenodo.5562887 , 10.5281/zenodo.5562888

PRESIDE-lm NER Model

Abstract

The PRESIDE-lm NER model and weights for detection and extraction of judicial entities and their honorific titles from the text of US federal district court docket sheets. This model was developed on the docket sheet text from cases filed in the 94 US Federal District courts during 2016. Model performance on validation data is 99.3% and 99.2% F-Score for the detection of honorific titles and judge names, respectively.

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Keywords

Court Records, NER

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
views
OpenAIRE UsageCountsViews provided by UsageCounts
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Fields of Science
social sciences
law
Fields of Science
social sciences
law