Conformal Intent Classification and Clarification for Fast and Accurate Intent Recognition

no code implementations • 27 Mar 2024 • Floris den Hengst, Ralf Wolter, Patrick Altmeyer, Arda Kaygan

We present Conformal Intent Classification and Clarification (CICC), a framework for fast and accurate intent classification for task-oriented dialogue systems.

intent-classification Intent Classification +2

Explainable Fraud Detection with Deep Symbolic Classification

1 code implementation • 1 Dec 2023 • Samantha Visbeek, Erman Acar, Floris den Hengst

There is a growing demand for explainable, transparent, and data-driven models within the domain of fraud detection.

Classification Fraud Detection +1

Low-Variance Policy Gradient Estimation with World Models

1 code implementation • 29 Oct 2020 • Michal Nauman, Floris den Hengst

In WMPG, a WM is trained online and used to imagine trajectories.

Reinforcement Learning for Personalized Dialogue Management

no code implementations • 1 Aug 2019 • Floris den Hengst, Mark Hoogendoorn, Frank van Harmelen, Joost Bosman

Reinforcement Learning methods that optimize dialogue policies have seen successes in past years and have recently been extended into methods that personalize the dialogue, e. g. take the personal context of users into account.

Dialogue Management Management +3