Yamen Ajjour

Bauhaus-Universität Weimar
Digital Bauhaus Lab
Bauhausstraße 9a · Room 308
99423 Weimar, Germany

Email: yamen.ajjour[at]uni-weimar.de
Phone: +49 (0)3643 - 58 3575

Short Curriculum Vitae

Yamen joined the Webis group in 2016. He currently works on Argument Mining, Discourse Analysis on The World Wide Web, and Deep Learning.


Matthias Hagen, Yamen Ajjour, Johannes Kiesel, Payam Adineh, and Benno Stein. Webis at TREC 2017: Open Search and Core Tracks. In Ellen M. Voorhees and Lori P. Buckland, editors, 26th International Text Retrieval Conference (TREC 17), NIST Special Publication, November 2017. National Institute of Standards and Technology (NIST). [publisher] [paper] [bib]
Yamen Ajjour, Wei-Fan Chen, Johannes Kiesel, Henning Wachsmuth, and Benno Stein. Unit Segmentation of Argumentative Texts. In Proceedings of the Fourth Workshop on Argument Mining (ArgMining 17), pages 118-128, September 2017. [paper] [bib]
Henning Wachsmuth, Martin Potthast, Khalid Al-Khatib, Yamen Ajjour, Jana Puschmann, Jiani Qu, Jonas Dorsch, Viorel Morari, Janek Bevendorff, and Benno Stein. Building an Argument Search Engine for the Web. In Proceedings of the Fourth Workshop on Argument Mining (ArgMining 17), pages 49-59, September 2017. [paper] [bib] [demo] [slides]
Henning Wachsmuth, Benno Stein, and Yamen Ajjour. "PageRank" for Argument Relevance. In Proceedings of the 15th Conference of the European Chapter of the Association for Computational Linguistics (EACL 17), pages 1116-1126, April 2017. [publisher] [paper] [corpus] [bib] [code] [slides]