Search Results for author: Eszter Iklódi

Found 1 papers, 1 papers with code

POTATO: exPlainable infOrmation exTrAcTion framewOrk

1 code implementation31 Jan 2022 Ádám Kovács, Kinga Gémes, Eszter Iklódi, Gábor Recski

We present POTATO, a task- and languageindependent framework for human-in-the-loop (HITL) learning of rule-based text classifiers using graph-based features.

Interpretable Machine Learning

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