Daniil Sorokin

Daniil Sorokin M.A.

Doctoral researcher

+49 6151 16-25296
+49 6151 16-25295

Hochschulstraße 10
64289 Darmstadt

Office: S2|02 B115

Links

Research interests

My research interests are centered around linking texts to knowledge bases:

  • Event and entity linking
  • Lexical-semantic resources and world knowledge
  • Semantic parsing and logic-based representations
  • Knowledge base question answering

In the most recent paper we have analysed how knowledge base relations can be extracted in a context-aware setting.

Biographical information

I hold a Master degree in Computational Linguistics from University of Tübingen and a Master degree in Applied Linguistics from Saint-Petersburg University.

Teaching

  • WS 2015/2016: Foundations of language technology / Grundlagen Intelligenter Systeme (Practice class)
  • WS 2016/2017: Foundations of language technology (Practice class)
  • WS 2017/2018: Foundations of language technology (Practice class)

Student guidance

If you are interested in an exciting thesis topic on mapping natural language to formalized meaning representations, let me know! If you hesitate, take a look at the poster.

I co-supervise(d) the following theses:

  • Raktim Bora (supervised by Daniil Sorokin and Prof. Dr. Iryna Gurevych) Extracting References for Knowledge Base Facts using a Semantic Parser. Master thesis, Technische Universität Darmstadt, 2016.
  • Moudud Hassan (supervised by Daniil Sorokin and Prof. Iryna Gurevych) Efficient knowledge base access for relation extraction and semantic parsing. Master thesis, Technische Universität Darmstadt, 2017.
  • Lars Wolf (supervised by Daniil Sorokin, Prof. Dr. Iryna Gurevych) Neural Sequence to Sequence Approaches for Mapping Natural Questions to SPARQL Queries, Bachelor thesis, Technische Universität Darmstadt, 2017.
  • Marco Huber (supervised by Daniil Sorokin, Prof. Dr. Iryna Gurevych) Context-Aware Neural Relation Extraction for Scientific Data, Bachelor thesis, Technische Universität Darmstadt, 2017.

Talks

  • System presentation at the 7th Open Challenge on Question Answering over Linked Data (QALD-7), May 2017, ESWC 2017, (extended abstract)
  • Web-based Visualisation of Toponyms and Their Derivational Patterns, September 2014, Advances in Visual Methods for Linguistics 2014 (AVML)
  • Visualizing toponym clusters on an interactive map, March 2013, 35th Annual Conference of the German Linguistic Society, Workshop on the Visualization of Linguistic Patterns

Awards

Publications

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Gruppiere nach: Publikationsjahr | Typ des Eintrags | Keine Gruppierung
Springe zu: 2021 | 2018 | 2017
Anzahl der Einträge: 9.

2021

Sorokin, Daniil (2021):
Knowledge Graphs and Graph Neural Networks for Semantic Parsing. (Verlagsversion)
Darmstadt, Technische Universität,
DOI: 10.26083/tuprints-00019187,
[Dissertation]

2018

Hanselowski, Andreas ; Zhang, Hao ; Li, Zile ; Sorokin, Daniil ; Schiller, Benjamin ; Schulz, Claudia ; Gurevych, Iryna (2018):
UKP-Athene: Multi-Sentence Textual Entailment for Claim Verification.
EMNLP 2018, FEVER Workshop, EMNLP 2018, Brussels, November 2 – November 4, 2018, [Konferenzveröffentlichung]

Botschen, Teresa ; Sorokin, Daniil ; Gurevych, Iryna (2018):
Frame- and Entity-Based Knowledge for Common-Sense Argumentative Reasoning.
Short Papers, In: Proceedings of the 5th Workshop on Argument Mining held in conjunction with EMNLP 2018, S. 90-96,
Brussels, Belgium, 31.10.2018, [Konferenzveröffentlichung]

Sorokin, Daniil ; Gurevych, Iryna (2018):
Interactive Instance-based Evaluation of Knowledge Base Question Answering.
System Demonstrations, In: Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing (EMNLP), S. 114-119,
The 2018 Conference on Empirical Methods in Natural Language Processing, Brussels, Belgium, 31.10.2018--04.11.2018, [Konferenzveröffentlichung]

Sorokin, Daniil ; Gurevych, Iryna (2018):
Modeling Semantics with Gated Graph Neural Networks for Knowledge Base Question Answering.
In: Proceedings of the 27th International Conference on Computational Linguistics (COLING 2018), S. 3306-3317,
The 27th International Conference on Computational Linguistics (COLING 2018), Santa Fe, USA, 20.08.2018--26.08.2018, [Konferenzveröffentlichung]

Sorokin, Daniil ; Gurevych, Iryna (2018):
Mixing Context Granularities for Improved Entity Linking on Question Answering Data across Entity Categories.
In: Proceedings of the Seventh Joint Conference on Lexical and Computational Semantics (*SEM), S. 65-75,
Stroudsburg PA, USA, The Seventh Joint Conference on Lexical and Computational Semantics (*SEM), New Orleans, USA, 05.06.2018--06.06.2018, DOI: 10.18653/v1/S18-2007,
[Konferenzveröffentlichung]

2017

Sorokin, Daniil ; Gurevych, Iryna (2017):
End-to-end Representation Learning for Question Answering with Weak Supervision.
In: Communications in Computer and Information Science, 769, In: Semantic Web Challenges: 4th SemWebEval Challenge at ESWC 2017, S. 70-83,
Springer, Cham, Portoroz, Slovenia, [Konferenzveröffentlichung]

Sorokin, Daniil ; Gurevych, Iryna (2017):
Context-Aware Representations for Knowledge Base Relation Extraction.
In: Proceedings of the 2017 Conference on Empirical Methods in Natural Language Processing (EMNLP), S. 1785-1789,
Association for Computational Linguistics, Copenhagen, Denmark, [Konferenzveröffentlichung]

Bugert, Michael ; Puzikov, Yevgeniy ; Rücklé, Andreas ; Eckle-Kohler, Judith ; Martin, Teresa ; Martínez Cámara, Eugenio ; Sorokin, Daniil ; Peyrard, Maxime ; Gurevych, Iryna (2017):
LSDSem 2017: Exploring Data Generation Methods for the Story Cloze Test.
In: Proceedings of the 2nd Workshop on Linking Models of Lexical, Sentential and Discourse-level Semantics, S. 56-61,
Association for Computational Linguistics, The 2nd Workshop on Linking Models of Lexical, Sentential and Discourse-level Semantics, Valencia, Spain, 03.04.2017--04.04.2017, ISBN 978-1-945626-40-1,
[Konferenzveröffentlichung]

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