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Negative Lexical Constraints in Neural Machine Translation
This paper explores negative lexical constraining in English to Czech neural machine translation.
CUNI systems for WMT21: Multilingual Low-Resource Translation for Indo-European Languages Shared Task
This paper describes Charles University submission for Multilingual Low-Resource Translation for Indo-European Languages shared task at WMT21.
CUNI systems for WMT21: Terminology translation Shared Task
Our approach is based on providing the desired translations alongside the input sentence and training the model to use these provided terms.
End-to-End Lexically Constrained Machine Translation for Morphologically Rich Languages
Lexically constrained machine translation allows the user to manipulate the output sentence by enforcing the presence or absence of certain words and phrases.
Classifying Norm Conflicts using Learned Semantic Representations
While most social norms are informal, they are often formalized by companies in contracts to regulate trades of goods and services.
LSTM-Based Goal Recognition in Latent Space
Approaches to goal recognition have progressively relaxed the requirements about the amount of domain knowledge and available observations, yielding accurate and efficient algorithms capable of recognizing goals.
