1 code implementation • 22 Jan 2021 • Yevgeniy Puzikov
Reliable evaluation protocols are of utmost importance for reproducible NLP research.
no code implementations • 15 Jan 2021 • Yevgeniy Puzikov, Simoes Stanley, Iryna Gurevych, Immanuel Schweizer
In this work we empirically compare the dominant optimization paradigms which provide supervision signals during training: backtranslation, adversarial training and reinforcement learning.
no code implementations • WS 2019 • Yevgeniy Puzikov, Claire Gardent, Ido Dagan, Iryna Gurevych
End-to-end neural approaches have achieved state-of-the-art performance in many natural language processing (NLP) tasks.
1 code implementation • WS 2018 • Yevgeniy Puzikov, Iryna Gurevych
E2E NLG Challenge is a shared task on generating restaurant descriptions from sets of key-value pairs.
Ranked #11 on Data-to-Text Generation on E2E NLG Challenge
no code implementations • WS 2018 • Yevgeniy Puzikov, Iryna Gurevych
Surface Realization Shared Task 2018 is a workshop on generating sentences from lemmatized sets of dependency triples.
no code implementations • ACL 2017 • Gabriel Stanovsky, Judith Eckle-Kohler, Yevgeniy Puzikov, Ido Dagan, Iryna Gurevych
Previous models for the assessment of commitment towards a predicate in a sentence (also known as factuality prediction) were trained and tested against a specific annotated dataset, subsequently limiting the generality of their results.
1 code implementation • WS 2017 • Michael Bugert, Yevgeniy Puzikov, Andreas R{\"u}ckl{\'e}, Judith Eckle-Kohler, Teresa Martin, Eugenio Mart{\'\i}nez-C{\'a}mara, Daniil Sorokin, Maxime Peyrard, Iryna Gurevych
The Story Cloze test is a recent effort in providing a common test scenario for text understanding systems.