2 papers
cs.CL2020
The Gutenberg Dialogue Dataset
Richard Csaky, Gabor Recski
Large datasets are essential for neural modeling of many NLP tasks. Current publicly available open-domain dialogue datasets offer a trade-off between quality (e.g., DailyDialog) a…
cs.CL2019
Improving Neural Conversational Models with Entropy-Based Data Filtering
Richard Csaky, Patrik Purgai, Gabor Recski
Current neural network-based conversational models lack diversity and generate boring responses to open-ended utterances. Priors such as persona, emotion, or topic provide addition…