Classes
Publications
- Semantic Noise Matters for Neural Natural Language Generation2019 | Faculty of Mathematics and Physics
- Neural Generation for Czech: Data and Baselines2019 | Faculty of Mathematics and Physics
- Sequence-to-Sequence Generation for Spoken Dialogue via Deep Syntax Trees and Strings2016 | Faculty of Mathematics and Physics
- A Context-aware Natural Language Generation Dataset for Dialogue Systems2016 | Faculty of Mathematics and Physics
- Training a Natural Language Generator From Unaligned Data2015 | Faculty of Mathematics and Physics
- Alex: Bootstrapping a Spoken Dialogoue System for a New Domain by Real Users2014 | Faculty of Mathematics and Physics
- Towards a Truly Statistical Natural Language Generator for Spoken Dialogues2013 | Faculty of Mathematics and Physics
- Robust Multilingual Statistical Morphological Generation Models2013 | Faculty of Mathematics and Physics
- Alex Context NLG DatasetPublication without faculty affiliation
- MooseNet: A Trainable Metric for Synthesized Speech with a PLDA Module2023 | Faculty of Mathematics and Physics
Loading network view...