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Communication Dans Un Congrès Année : 2016

Predictive modeling: guessing the NLP terms of tomorrow

Résumé

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.
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Dates et versions

hal-01840808 , version 1 (16-07-2018)

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  • HAL Id : hal-01840808 , version 1

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Gil Francopoulo, Joseph J Mariani, Patrick Paroubek. Predictive modeling: guessing the NLP terms of tomorrow. International Conference on Language Resources and Evaluation, May 2016, Portoroz, Slovenia. ⟨hal-01840808⟩
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