Tilman Beck M.Sc.
Doctoral researcher
Contact
beck@ukp.informatik.tu-...
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. |
|
|
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]