Personal Information

[Photo of Daniil Sorokin]

Daniil Sorokin
Doctoral Researcher
+49 (6151) 16 - 25296
+49 (6151) 16 - 25295
S2|02 B115
TU Darmstadt - FB 20
Hochschulstraße 10
64289 Darmstadt



Google Scholar



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.


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 undefinedposter.

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.


  • System presentation at the 7th Open Challenge on Question Answering over Linked Data (QALD-7), May 2017, ESWC 2017, (undefinedextended 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


Additional Attributes


End-to-end Representation Learning for Question Answering with Weak Supervision

Daniil Sorokin, Iryna Gurevych
In: Semantic Web Challenges: 4th SemWebEval Challenge at ESWC 2017, Vol. 769, p. 70-83, October 2017
Springer, Cham

Context-Aware Representations for Knowledge Base Relation Extraction

Daniil Sorokin, Iryna Gurevych
In: Proceedings of the 2017 Conference on Empirical Methods in Natural Language Processing (EMNLP), p. 1785-1790, September 2017
Association for Computational Linguistics

LSDSem 2017: Exploring Data Generation Methods for the Story Cloze Test

Michael Bugert, Yevgeniy Puzikov, Andreas Rücklé, Judith Eckle-Kohler, Teresa Martin, Eugenio Martínez Cámara, Daniil Sorokin, Maxime Peyrard, Iryna Gurevych
In: Proceedings of the 2nd Workshop on Linking Models of Lexical, Sentential and Discourse-level Semantics (LSDSem, held in conjunction with EACL2017), p. 56-61, April 2017
Association for Computational Linguistics
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