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Conference object . 2019
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Conference object . 2019
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https://dx.doi.org/10.17613/q8...
Article . 2019
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Article . 2019
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Towards unsupervised extraction of linguistic typological features from language descriptions - SI

descriptionPublicationkeyboard_double_arrow_right Conference object , Article 01 Jan 2019 English Publisher:Zenodo
Authors: Wichmann, Søren; Rama, Taraka;

doi: 10.5281/zenodo.3353576 , 10.17613/q8j1e-cjb19 , 10.17613/5zcy-h904 , 10.5281/zenodo.3353577

Towards unsupervised extraction of linguistic typological features from language descriptions - SI

Abstract

Supplementary files for the paper Towards unsupervised extraction of linguistic typological features from language descriptions, submitted to the RANLP'19 workshop Grammar Data Mining (GDM): Extracting Linguistic Features From Grammatical Descriptions - RANLP'19 Workshop/Shared Task.

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Keywords

Typology (Linguistics), typology, grammar, information extraction, Machine learning

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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).
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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.
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