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Predictive Modeling: Guessing the NLP Terms of Tomorrow

Proceedings of the Tenth International Conference on Language Resources and Evaluation (LREC 2016)

DOI:10.63317/43c5dio6jnx2

Abstract

Predictive modeling, often called “predictive analytics” in a commercial context, encompasses a variety of statistical techniques that analyze historical and present facts to make predictions about unknown events. Often the unknown events are in the future, but prediction can be applied to any type of unknown whether it be in the past or future. In our case, we present some experiments applying predictive modeling to the usage of technical terms within the NLP domain.

Details

Paper ID
lrec2016-main-052
Pages
pp. 336-343
BibKey
francopoulo-etal-2016-predictive
Editor
N/A
Publisher
European Language Resources Association (ELRA)
ISSN
2522-2686
ISBN
978-2-9517408-9-1
Conference
Tenth International Conference on Language Resources and Evaluation
Location
Portorož, Slovenia
Date
23 May 2016 28 May 2016

Authors

  • GF

    Gil Francopoulo

  • JM

    Joseph Mariani

  • PP

    Patrick Paroubek

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