Search Results for author: Ondrej Bajgar

Found 7 papers, 3 papers with code

Embracing data abundance: BookTest Dataset for Reading Comprehension

2 code implementations4 Oct 2016 Ondrej Bajgar, Rudolf Kadlec, Jan Kleindienst

We show that training on the new data improves the accuracy of our Attention-Sum Reader model on the original CBT test data by a much larger margin than many recent attempts to improve the model architecture.

Reading Comprehension

Text Understanding with the Attention Sum Reader Network

2 code implementations ACL 2016 Rudolf Kadlec, Martin Schmid, Ondrej Bajgar, Jan Kleindienst

Several large cloze-style context-question-answer datasets have been introduced recently: the CNN and Daily Mail news data and the Children's Book Test.

Ranked #5 on Open-Domain Question Answering on SearchQA (Unigram Acc metric)

Machine Reading Comprehension Open-Domain Question Answering

A Boo(n) for Evaluating Architecture Performance

1 code implementation ICML 2018 Ondrej Bajgar, Rudolf Kadlec, Jan Kleindienst

We point out important problems with the common practice of using the best single model performance for comparing deep learning architectures, and we propose a method that corrects these flaws.

Planning for Goal-Oriented Dialogue Systems

no code implementations17 Oct 2019 Christian Muise, Tathagata Chakraborti, Shubham Agarwal, Ondrej Bajgar, Arunima Chaudhary, Luis A. Lastras-Montano, Josef Ondrej, Miroslav Vodolan, Charlie Wiecha

Generating complex multi-turn goal-oriented dialogue agents is a difficult problem that has seen a considerable focus from many leaders in the tech industry, including IBM, Google, Amazon, and Microsoft.

Goal-Oriented Dialogue Systems slot-filling +1

Negative Human Rights as a Basis for Long-term AI Safety and Regulation

no code implementations31 Aug 2022 Ondrej Bajgar, Jan Horenovsky

If autonomous AI systems are to be reliably safe in novel situations, they will need to incorporate general principles guiding them to recognize and avoid harmful behaviours.

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