no code implementations • NAACL (ACL) 2022 • Yulia Grishina, Daniil Sorokin
First, we apply the original LGL schedule on our data and then adapt LGL to the production setting where the full data is not available at initial training iterations.
no code implementations • COLING 2020 • Shailza Jolly, Tobias Falke, Caglar Tirkaz, Daniil Sorokin
Recent progress through advanced neural models pushed the performance of task-oriented dialog systems to almost perfect accuracy on existing benchmark datasets for intent classification and slot labeling.
no code implementations • COLING 2020 • Tobias Falke, Markus Boese, Daniil Sorokin, Caglar Tirkaz, Patrick Lehnen
In large-scale commercial dialog systems, users express the same request in a wide variety of alternative ways with a long tail of less frequent alternatives.
1 code implementation • EMNLP 2018 • Daniil Sorokin, Iryna Gurevych
Most approaches to Knowledge Base Question Answering are based on semantic parsing.
1 code implementation • WS 2018 • Teresa Botschen, Daniil Sorokin, Iryna Gurevych
Common-sense argumentative reasoning is a challenging task that requires holistic understanding of the argumentation where external knowledge about the world is hypothesized to play a key role.
1 code implementation • WS 2018 • Andreas Hanselowski, Hao Zhang, Zile Li, Daniil Sorokin, Benjamin Schiller, Claudia Schulz, Iryna Gurevych
The Fact Extraction and VERification (FEVER) shared task was launched to support the development of systems able to verify claims by extracting supporting or refuting facts from raw text.
1 code implementation • COLING 2018 • Daniil Sorokin, Iryna Gurevych
The most approaches to Knowledge Base Question Answering are based on semantic parsing.
Ranked #1 on Knowledge Base Question Answering on WebQSP-WD
1 code implementation • SEMEVAL 2018 • Daniil Sorokin, Iryna Gurevych
We use the Wikidata knowledge base and available question answering datasets to create benchmarks for entity linking on question answering data.
Ranked #2 on Entity Linking on WebQSP-WD
1 code implementation • EMNLP 2017 • Daniil Sorokin, Iryna Gurevych
We demonstrate that for sentence-level relation extraction it is beneficial to consider other relations in the sentential context while predicting the target relation.
Ranked #1 on Relation Extraction on Wikipedia-Wikidata relations
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.