2 papers
cs.CL2025
MonoTODia: Translating Monologue Requests to Task-Oriented Dialogues
Sebastian Steindl, Ulrich Schäfer, Bernd Ludwig
Data scarcity is one of the main problems when it comes to real-world applications of transformer-based models. This is especially evident for task-oriented dialogue (TOD) systems,…
cs.CL2024
CoPrUS: Consistency Preserving Utterance Synthesis towards more realistic benchmark dialogues
Sebastian Steindl, Ulrich Schäfer, Bernd Ludwig
Large-scale Wizard-Of-Oz dialogue datasets have enabled the training of deep learning-based dialogue systems. While they are successful as benchmark datasets, they lack certain typ…