1 code implementation • 28 Nov 2021 • Zein Shaheen, Gerhard Wohlgenannt, Dmitry Mouromtsev
Also, Gradual unfreezing of pre-trained model's layers during training results in relative improvement of 38-45% for French and 58-70% for German.
1 code implementation • 5 May 2020 • Zein Shaheen, Gerhard Wohlgenannt, Bassel Zaity, Dmitry Mouromtsev, Vadim Pak
Generating coherent, grammatically correct, and meaningful text is very challenging, however, it is crucial to many modern NLP systems.
no code implementations • 19 Jul 2019 • Gerhard Wohlgenannt, Dmitry Mouromtsev, Dmitry Pavlov, Yury Emelyanov, Alexey Morozov
With the growing number and size of Linked Data datasets, it is crucial to make the data accessible and useful for users without knowledge of formal query languages.
no code implementations • 4 Mar 2019 • Gerhard Wohlgenannt, Nikolay Klimov, Dmitry Mouromtsev, Daniil Razdyakonov, Dmitry Pavlov, Yury Emelyanov
One of the big challenges in Linked Data consumption is to create visual and natural language interfaces to the data usable for non-technical users.
no code implementations • 4 Mar 2019 • Gerhard Wohlgenannt, Ekaterina Chernyak, Dmitry Ilvovsky, Ariadna Barinova, Dmitry Mouromtsev
In this research, we manually create high-quality datasets in the digital humanities domain for the evaluation of language models, specifically word embedding models.