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Daniil Sorokin
Daniil Sorokin
Amazon Alexa AI
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Title
Cited by
Cited by
Year
UKP-Athene: Multi-Sentence Textual Entailment for Claim Verification
A Hanselowski, H Zhang, Z Li, D Sorokin, B Schiller, C Schulz, I Gurevych
Proceedings of the First Workshop on Fact Extraction and VERification (FEVER …, 2018
2162018
Context-Aware Representations for Knowledge Base Relation Extraction
D Sorokin, I Gurevych
Proceedings of the 2017 Conference on Empirical Methods in Natural Language …, 2017
1682017
Modeling Semantics with Gated Graph Neural Networks for Knowledge Base Question Answering
D Sorokin, I Gurevych
Proceedings of the 27th International Conference on Computational …, 2018
1352018
Mixing Context Granularities for Improved Entity Linking on Question Answering Data across Entity Categories
D Sorokin, I Gurevych
Proceedings of the Seventh Joint Conference on Lexical and Computational …, 2018
442018
Frame-and Entity-Based Knowledge for Common-Sense Argumentative Reasoning
T Botschen, D Sorokin, I Gurevych
5th Workshop on Argument Mining, 2018
322018
Data-efficient paraphrase generation to bootstrap intent classification and slot labeling for new features in task-oriented dialog systems
S Jolly, T Falke, C Tirkaz, D Sorokin
Proceedings of the 28th International Conference on Computational …, 2020
222020
End-to-end Representation Learning for Question Answering with Weak Supervision
D Sorokin, I Gurevych
Semantic Web Challenges. SemWebEval 2017. Communications in Computer and …, 2017
222017
Leveraging user paraphrasing behavior in dialog systems to automatically collect annotations for long-tail utterances
T Falke, M Boese, D Sorokin, C Tirkaz, P Lehnen
Proceedings of the 28th International Conference on Computational …, 2020
182020
LSDSem 2017: Exploring data generation methods for the story cloze test
M Bugert, Y Puzikov, A Rücklé, J Eckle-Kohler, T Martin, ...
Proceedings of the 2nd Workshop on Linking Models of Lexical, Sentential and …, 2017
132017
Knowledge graphs and graph neural networks for semantic parsing
D Sorokin
Technische Universität, 2021
42021
The impact of intent distribution mismatch on semi-supervised spoken language understanding
J Gaspers, QNT Do, D Sorokin, P Lehnen
32021
Predicting temporal performance drop of deployed production spoken language understanding models
QNT Do, J Gaspers, D Sorokin, P Lehnen
32021
Classifying Semantic Relations in German Nominal Compounds using a Hybrid Annotation Scheme
D Sorokin, C Dima, E Hinrichs
Journal of Cognitive Science 16 (3), 260-285, 2015
32015
Interactive Instance-based Evaluation of Knowledge Base Question Answering
D Sorokin, I Gurevych
Proceedings of the 2018 Conference on Empirical Methods in Natural Language …, 2018
22018
Class incremental learning for intent classification with limited or no old data
D Paul, D Sorokin, J Gaspers
Proceedings of the The First Workshop on Ever Evolving NLP (EvoNLP), 16-25, 2022
12022
Sharing encoder representations across languages, domains and tasks in large-scale spoken language understanding
J Hueser, J Gaspers, T Gueudre, C Prakash, J Cao, D Sorokin, Q Do, ...
Proceedings of the 61st Annual Meeting of the Association for Computational …, 2023
2023
Towards Need-Based Spoken Language Understanding Model Updates: What Have We Learned?
Q Do, J Gaspers, D Sorokin, P Lehnen
Proceedings of the 2022 Conference on Empirical Methods in Natural Language …, 2022
2022
Local-to-global learning for iterative training of production SLU models on new features
Y Grishina, D Sorokin
Proceedings of the 2022 Conference of the North American Chapter of the …, 2022
2022
Multi-label Classification of Semantic Relations in German Nominal Compounds using SVMs
D Sorokin, C Dima, E Hinrichs
Proceedings of the ESSLLI 2014 Workshop on Computational, Cognitive, and …, 2014
2014
Visualizing Toponym Clusters on an Interactive Map
A Barsukova, D Sorokin
2013
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Articles 1–20