185 citations · 429 across the 14 of their papers we have counts for
29 papers
Learning Interpretable Latent Dialogue Actions With Less Supervision
Vojtěch Hudeček, Ondřej Dušek
We present a novel architecture for explainable modeling of task-oriented dialogues with discrete latent variables to represent dialogue actions. Our model is based on variational…
AARGH! End-to-end Retrieval-Generation for Task-Oriented Dialog
Tomáš Nekvinda, Ondřej Dušek
We introduce AARGH, an end-to-end task-oriented dialog system combining retrieval and generative approaches in a single model, aiming at improving dialog management and lexical div…
Neural Pipeline for Zero-Shot Data-to-Text Generation
Zdeněk Kasner, Ondřej Dušek
In data-to-text (D2T) generation, training on in-domain data leads to overfitting to the data representation and repeating training data noise. We examine how to avoid finetuning p…
MiRANews: Dataset and Benchmarks for Multi-Resource-Assisted News Summarization
Xinnuo Xu, Ondřej Dušek, Shashi Narayan +2
One of the most challenging aspects of current single-document news summarization is that the summary often contains 'extrinsic hallucinations', i.e., facts that are not present in…
Underreporting of errors in NLG output, and what to do about it
Emiel van Miltenburg, Miruna-Adriana Clinciu, Ondřej Dušek +8
We observe a severe under-reporting of the different kinds of errors that Natural Language Generation systems make. This is a problem, because mistakes are an important indicator o…
AGGGEN: Ordering and Aggregating while Generating
Xinnuo Xu, Ondřej Dušek, Verena Rieser +1
We present AGGGEN (pronounced 'again'), a data-to-text model which re-introduces two explicit sentence planning stages into neural data-to-text systems: input ordering and input ag…