Combining Prediction and Interpretation in Decision Trees (PrInDT) -- a Linguistic Example

Autor:	Weihs, Claus, Buschfeld, Sarah
Rok vydání:	2021
Předmět:	Computer Science - Computation and Language Statistics - Applications
Druh dokumentu:	Working Paper
Popis:	In this paper, we show that conditional inference trees and ensembles are suitable methods for modeling linguistic variation. As against earlier linguistic applications, however, we claim that their suitability is strongly increased if we combine prediction and interpretation. To that end, we have developed a statistical method, PrInDT (Prediction and Interpretation with Decision Trees), which we introduce and discuss in the present paper.
Databáze:	arXiv
Externí odkaz:	http://arxiv.org/abs/2103.02336 Zobrazit plný text záznamu View this record from Arxiv