Tilman Beck M.Sc.

Doctoral researcher

work +49 6151 16-25294

beck@ukp.informatik.tu-...

Work Hochschulstraße 10
64289 Darmstadt

Office: S2|02 B104

Biographical information

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.

Research interests

Argumentation Mining
Text Clustering and Summarization
Bayesian Topic Modeling for NLP

Teaching

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)

Publications

Gruppiere nach: Publikationsjahr | Typ des Eintrags | Keine Gruppierung

Springe zu: 2019 | 2018

Anzahl der Einträge: 4.

2019

Reimers, Nils ; Schiller, Benjamin ; Beck, Tilman ; Daxenberger, Johannes ; Stab, Christian ; Gurevych, Iryna (2019):
Classification and Clustering of Arguments with Contextualized Word Embeddings.
In: The 57th Annual Meeting of the Association for Computational Linguistics (ACL 2019), Florence, Italy, 28.07.2019-02.08.2019, S. 567-578, [Online-Edition: https://www.aclweb.org/anthology/P19-1054],
[Konferenzveröffentlichung]

2018

Saleh, Ahmed ; Beck, Tilman ; Galke, Lukas ; Scherp, Ansgar Dobreva, Milena ; Hinze, Annika ; Zumer, Maja (Hrsg.) (2018):
Performance Comparison of Ad-Hoc Retrieval Models over Full-Text vs. Titles of Documents.
In: Maturity and Innovation in Digital Libraries, Cham, Springer International Publishing, S. 290-303, DOI: 10.1007/978-3-030-04257-8,
[Online-Edition: https://www.springer.com/de/book/9783030042561],
[Buchkapitel]

Beck, Tilman ; Böschen, Falk ; Scherp, Ansgar (2018):
What to Read Next? Challenges and Preliminary Results in Selecting Representative Documents.
In: Database and Expert Systems Applications - DEXA 2018 International Workshops, BDMICS, BIOKDD, and TIR, Regensburg, Germany, September 3-6, 2018, Proceedings, S. 230-242, DOI: 10.1007/978-3-319-99133-7_19,
[Online-Edition: https://doi.org/10.1007/978-3-319-99133-7\_19],
[Konferenzveröffentlichung]

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

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