Search Results for author: Ádám Kovács

Found 2 papers, 1 papers with code

BME-TUW at SR’20: Lexical grammar induction for surface realization

no code implementations • MSR (COLING) 2020 • Gábor Recski, Ádám Kovács, Kinga Gémes, Judit Ács, Andras Kornai

We present a system for mapping Universal Dependency structures to raw text which learns to restore word order by training an Interpreted Regular Tree Grammar (IRTG) that establishes a mapping between string and graph operations.

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POTATO: exPlainable infOrmation exTrAcTion framewOrk

1 code implementation • 31 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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