no code implementations • 17 Feb 2021 • Rudolf Rosa, Tomáš Musil, Ondřej Dušek, Dominik Jurko, Patrícia Schmidtová, David Mareček, Ondřej Bojar, Tom Kocmi, Daniel Hrbek, David Košťák, Martina Kinská, Marie Nováková, Josef Doležal, Klára Vosecká, Tomáš Studeník, Petr Žabka
We present the first version of a system for interactive generation of theatre play scripts.
In classical probing, a classifier is trained on the representations to extract the target linguistic information.
no code implementations • 25 Jun 2020 • Rudolf Rosa, Ondřej Dušek, Tom Kocmi, David Mareček, Tomáš Musil, Patrícia Schmidtová, Dominik Jurko, Ondřej Bojar, Daniel Hrbek, David Košťák, Martina Kinská, Josef Doležal, Klára Vosecká
We present THEaiTRE, a starting project aimed at automatic generation of theatre play scripts.
Taking Tugendhat's formal reinterpretation of Frege's work as a starting point, we demonstrate that it is analogical to the process of training the Skip-gram model and offers a possible explanation of its semantic properties.
As the quality of machine translation rises and neural machine translation (NMT) is moving from sentence to document level translations, it is becoming increasingly difficult to evaluate the output of translation systems.
We also show that further examining histograms of classes along the principal component is important to understand the structure of representation of information in embeddings.