DLGNet-Task: An End-to-end Neural Network Framework for Modeling Multi-turn Multi-domain Task-Oriented Dialogue

no code implementations • 4 Oct 2020 • Oluwatobi O. Olabiyi, Prarthana Bhattarai, C. Bayan Bruss, Zachary Kulis

Task oriented dialogue (TOD) requires the complex interleaving of a number of individually controllable components with strong guarantees for explainability and verifiability.

Dialogue Generation Natural Language Understanding

Telephonetic: Making Neural Language Models Robust to ASR and Semantic Noise

no code implementations • 13 Jun 2019 • Chris Larson, Tarek Lahlou, Diana Mingels, Zachary Kulis, Erik Mueller

While techniques exist for desensitizing features to common noise patterns produced by Speech-to-Text (STT) and Text-to-Speech (TTS) systems, the question remains how to best leverage state-of-the-art language models (which capture rich semantic features, but are trained on only written text) on inputs with ASR errors.

Data Augmentation Decoder +1