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ORCIDDaniil Sorokin
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- affiliation: Technische Universität Darmstadt, Germany
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2020 – today
- 2023
[c15]Jonathan J. Hüser, Judith Gaspers, Thomas Gueudré, Chandana Satya Prakash, Jin Cao, Daniil Sorokin, Quynh Do, Nicolas Anastassacos, Tobias Falke, Turan Gojayev:
Sharing Encoder Representations across Languages, Domains and Tasks in Large-Scale Spoken Language Understanding. ACL (industry) 2023: 447-456- 2022
- [c14]Quynh Do, Judith Gaspers, Daniil Sorokin, Patrick Lehnen:
Towards Need-Based Spoken Language Understanding Model Updates: What Have We Learned? EMNLP (Industry Track) 2022: 121-127 - [c13]Yulia Grishina, Daniil Sorokin:
Local-to-global learning for iterative training of production SLU models on new features. NAACL-HLT (Industry Papers) 2022: 103-111 - 2021
- [b1]Daniil Sorokin:
Knowledge Graphs and Graph Neural Networks for Semantic Parsing. Technical University of Darmstadt, Germany, 2021 - [c12]Quynh Do, Judith Gaspers, Daniil Sorokin, Patrick Lehnen:
Predicting Temporal Performance Drop of Deployed Production Spoken Language Understanding Models. Interspeech 2021: 1249-1253 - [c11]Judith Gaspers, Quynh Do, Daniil Sorokin, Patrick Lehnen:
The Impact of Intent Distribution Mismatch on Semi-Supervised Spoken Language Understanding. Interspeech 2021: 4708-4712 - 2020
- [c10]Shailza Jolly, Tobias Falke, Caglar Tirkaz, Daniil Sorokin:
Data-Efficient Paraphrase Generation to Bootstrap Intent Classification and Slot Labeling for New Features in Task-Oriented Dialog Systems. COLING (Industry) 2020: 10-20 - [c9]Tobias Falke, Markus Boese, Daniil Sorokin, Caglar Tirkaz, Patrick Lehnen:
Leveraging User Paraphrasing Behavior In Dialog Systems To Automatically Collect Annotations For Long-Tail Utterances. COLING (Industry) 2020: 21-32
2010 – 2019
- 2018
- [c8]Teresa Botschen, Daniil Sorokin, Iryna Gurevych:
Frame- and Entity-Based Knowledge for Common-Sense Argumentative Reasoning. ArgMining@EMNLP 2018: 90-96 - [c7]Daniil Sorokin, Iryna Gurevych:
Modeling Semantics with Gated Graph Neural Networks for Knowledge Base Question Answering. COLING 2018: 3306-3317 - [c6]Andreas Hanselowski, Hao Zhang, Zile Li, Daniil Sorokin, Benjamin Schiller, Claudia Schulz, Iryna Gurevych:
UKP-Athene: Multi-Sentence Textual Entailment for Claim Verification. FEVER@EMNLP 2018: 103-108 - [c5]Daniil Sorokin, Iryna Gurevych:
Interactive Instance-based Evaluation of Knowledge Base Question Answering. EMNLP (Demonstration) 2018: 114-119 - [c4]Daniil Sorokin, Iryna Gurevych:
Mixing Context Granularities for Improved Entity Linking on Question Answering Data across Entity Categories. *SEM@NAACL-HLT 2018: 65-75 - [i3]Daniil Sorokin, Iryna Gurevych:
Mixing Context Granularities for Improved Entity Linking on Question Answering Data across Entity Categories. CoRR abs/1804.08460 (2018) - [i2]Daniil Sorokin, Iryna Gurevych:
Modeling Semantics with Gated Graph Neural Networks for Knowledge Base Question Answering. CoRR abs/1808.04126 (2018) - [i1]Andreas Hanselowski, Hao Zhang, Zile Li, Daniil Sorokin, Benjamin Schiller, Claudia Schulz, Iryna Gurevych:
UKP-Athene: Multi-Sentence Textual Entailment for Claim Verification. CoRR abs/1809.01479 (2018) - 2017
- [c3]Michael Bugert, Yevgeniy Puzikov, Andreas Rücklé
, Judith Eckle-Kohler, Teresa Martin, Eugenio Martínez-Cámara, Daniil Sorokin, Maxime Peyrard, Iryna Gurevych:
LSDSem 2017: Exploring Data Generation Methods for the Story Cloze Test. LSDSem@EACL 2017: 56-61 - [c2]Daniil Sorokin, Iryna Gurevych:
Context-Aware Representations for Knowledge Base Relation Extraction. EMNLP 2017: 1784-1789 - [c1]Daniil Sorokin, Iryna Gurevych:
End-to-End Representation Learning for Question Answering with Weak Supervision. SemWebEval@ESWC 2017: 70-83
Coauthor Index
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