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Tilman Beck

Tilman Beck M.Sc.

Doctoral researcher

Contact

work +49 6151 16-25294

Work S2|02 B104
Hochschulstraße 10
64289 Darmstadt

Links

I am a doctoral candidate working on Argument Mining, a relatively young research direction within Natural Language Processing. My research focus is how to aggregate large-scale argumentative content and how to automatically identify topic drifts in controversial debates.

I finished my M.Sc in computer science at Kiel University in March 2018 where I worked in the Knowledge Discovery Group.
  • Argumentation Mining
  • Text Clustering and Summarization
  • Few-Shot Learning for NLP
  • WS2020/2021: Few-Shot Machine Learning on the Example of Evolution of Debates
  • MA Thesis 2020: Comparison and Evaluation of Clustering Approaches for Argumentative Sentences
  • SS2020: Analyzing and Visualizing the Evolution of Debates (Data Analysis Software Project)
  • MA Thesis 2019: Generalizable Argument Detection across Scientific Domains
  • SS2019: Ethics in Natural Language Processing (Tutorial)
Jump to: 2019 | 2018
Number of items: 4.

2019

Reimers, Nils and Schiller, Benjamin and Beck, Tilman and Daxenberger, Johannes and Stab, Christian and Gurevych, Iryna (2019):
Classification and Clustering of Arguments with Contextualized Word Embeddings.
pp. 567-578, 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

Saleh, Ahmed and Beck, Tilman and Galke, Lukas and Scherp, Ansgar Dobreva, Milena and Hinze, Annika and Zumer, Maja (eds.) (2018):
Performance Comparison of Ad-Hoc Retrieval Models over Full-Text vs. Titles of Documents.
In: Maturity and Innovation in Digital Libraries, pp. 290-303, Cham, Springer International Publishing, ISBN 978-3-030-04257-8,
DOI: 10.1007/978-3-030-04257-8,
[Book Section]

Beck, Tilman and Böschen, Falk and Scherp, Ansgar (2018):
What to Read Next? Challenges and Preliminary Results in Selecting Representative Documents.
pp. 230-242, Database and Expert Systems Applications - DEXA 2018 International Workshops, BDMICS, BIOKDD, and TIR, Regensburg, Germany, September 3-6, 2018, Proceedings, DOI: 10.1007/978-3-319-99133-7_19,
[Conference or Workshop Item]

Böschen, Falk and Beck, Tilman and Scherp, Ansgar (2018):
Survey and empirical comparison of different approaches for text extraction from scholarly figures.
In: Multimedia Tools and Applications, 77 (22), pp. 29475-29505. ISSN Online 1573-7721; Print 1380-7501,
DOI: 10.1007/s11042-018-6162-7,
[Article]

This list was generated on Mon Apr 12 04:39:17 2021 CEST.