Michael Bugert M.Sc.

Doctoral researcher

Contact

work +49 6151 16-25294
fax +49 6151 16-25295

Work S2|02 B104
Hochschulstraße 10
64289 Darmstadt

  • cross-document event coreference resolution
  • machine reading
  • commonsense knowledge
  • SS 2019: Deep Learning for Natural Language Processing (practice class)
  • SS 2018: Deep Learning for Natural Language Processing (practice class)
  • SS 2017: Deep Learning for Natural Language Processing(practice class)

I hold a M.Sc. and a B.Sc. in Computer Science, both received from TU Darmstadt.

Besides machine learning, I enjoy music and music production. Very related: My master's thesis on automatically generating guitar tablature from MIDI files.

Jump to: 2020 | 2019 | 2018 | 2017
Number of items: 4.

2020

Bugert, Michael and Reimers, Nils and Barhom, Shany and Dagan, Ido and Gurevych, Iryna (2020):
Breaking the Subtopic Barrier in Cross-Document Event Coreference Resolution.
Text2Story@ECIR'20 - 3rd International Workshop on Narrative Extraction from Texts, Lisbon, Portugal, 14.04.2020, [Conference or Workshop Item]

2019

Barhom, Shany and Shwartz, Vered and Eirew, Alon and Bugert, Michael and Reimers, Nils and Dagan, Ido (2019):
Revisiting Joint Modeling of Cross-document Entity and Event Coreference Resolution.
pp. 4179-4189, The 57th Annual Meeting of the Association for Computational Linguistics (ACL 2019), Florence, Italy, 28.07.2019-02.08.2019, [Conference or Workshop Item]

2018

Klie, Jan-Christoph and Bugert, Michael and Boullosa, Beto and Eckart de Castilho, Richard and Gurevych, Iryna (2018):
The INCEpTION Platform: Machine-Assisted and Knowledge-Oriented Interactive Annotation.
In: Proceedings of the 27th International Conference on Computational Linguistics: System Demonstrations, pp. 5-9,
Association for Computational Linguistics, The 27th International Conference on Computational Linguistics (COLING 2018), Santa Fe, USA, 20.08.2018--26.08.2018, [Conference or Workshop Item]

2017

Bugert, Michael and Puzikov, Yevgeniy and Rücklé, Andreas and Eckle-Kohler, Judith and Martin, Teresa and Martínez Cámara, Eugenio and Sorokin, Daniil and Peyrard, Maxime and 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, pp. 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,
[Conference or Workshop Item]

This list was generated on Mon Apr 12 05:15:48 2021 CEST.