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Steffen Remus

Name:	Steffen Remus
Position:	PhD Student
Email:	remus (at) informatik․uni−hamburg․de
Phone:	+49 40 42883 2369
Fax:	+49 40 42883 2345
Office:	F-413
Address:	Informatikum Vogt-Kölln-Straße 30 22527 Hamburg

I'm a Ph.D. Student at the language technology group, under the supervision of Prof. Chris Biemann. My main interests are unsupervised methods for focused web crawling and relation extraction using distributional methods.

In the past I was a scholarship holder for the KDSL (Knowledge Discovery in Scientific Literature) program and an associate researcher in the AIPHES program.

Currently I work in a project that combines transcription from the EXMARaLDA toolkit with annotations in the WebAnno toolkit.

Projects

Crawling & Semantic Structuring of Scientific Publications in the Web

Lexical Chains for German

WebAnno + EXMARaLDA

BIMDANUBE

Teaching

Algorithms of Language Technology - Practice Class - Summer Term 2014
Algorithms of Language Technology - Practice Class - Summer Term 2015 (Best Mentoring)
Workshop on IBM Watson - One day workshop, February 2015
Question Answering Technologies Behind IBM Watson - Summer Term 2015
Algorithms of Language Technology - Practice Class - Summer Term 2016
Question Answering Technologies Behind IBM Watson - Summer Term 2016

Publications

Steffen Remus and Chris Biemann (2018): Retrofitting Word Representations for Unsupervised Sense Aware Word Similarities. In Proceedings Eleventh International Conference on Language Resources and Evaluation (LREC 2018), Miyazaki, Japan (pdf,poster-pdf)
Steffen Remus, Manuel Kaufmann, Kathrin Ballweg, Tatiana von Landesberger, and Chris Biemann. 2017. Storyfinder: Personalized Knowledge Base Construction and Management by Browsing the Web. In Proceedings of the 26th ACM International Conference on Information and Knowledge Management. Singapore, Singapore. pp. 2519-252. (preprint-pdf, poster-pdf, website)

Seid Muhie Yimam, Steffen Remus, Alexander Panchenko, Andreas Holzinger , Chris Biemann. 2017. Entity-Centric Information Access with the Human-in-the-Loop for the Biomedical Domains. In Proceddings of the Biomedical NLP Workshop associated with RANLP 2017. Varna, Bulgaria (pdf)

Steffen Remus, Gerold Hintz, Darina Benikova, Thomas Arnold, Judith Eckle-Kohler, Christian M. Meyer, Margot Mieskes and Chris Biemann (2016): EmpiriST: AIPHES Robust Tokenization and POS-Tagging for Different Genres. In Proceedings of the 10th Web as Corpus Workshop (WAC-X), Berlin, Germany (pdf)

Steffen Remus and Chris Biemann (2016): Domain-Specific Corpus Expansion with Focused Webcrawling. In Proceedings Tenth International Conference on Language Resources and Evaluation (LREC 2016), Protorož, Slovenia (pdf)

Alexander Panchenko, Stefano Faralli, Eugen Ruppert, Steffen Remus, Hubert Naets, Cédrick Fairon, Simone Paolo Ponzetto and Chris Biemann (2016): TAXI: a Taxonomy Induction Method based on Lexico-Syntactic Patterns, Substrings and Focused Crawling. In Proceedings of the 10th International Workshop on Semantic Evaluation, San Diego, CA, USA (pdf)

Omer Levy, Steffen Remus, Chris Biemann and Ido Dagan (2015): Do Supervised Distributional Methods Really Learn Lexical Inference Relations? In Proceedings of the 2015 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies. Denver, CO, USA (pdf, bib)

Chris Biemann, Steffen Remus and Markus J. Hofmann (2015): Predicting word ’predictability’ in cloze completion, electroencephalographic and eye movement data. In Proceedings of the 12th International Workshop on Natural Language Processing and Cognitive Science. Krakow, Poland (pdf)

Jinseok Nam, Christian Kirschner, Zheng Ma, Nicolai Erbs, Susanne Neumann, Daniela Oelke, Steffen Remus, Chris Biemann, Judith Eckle-Kohler, Johannes Fürnkranz, Iryna Gurevych, Marc Rittberger and Karsten Weihe (2014): Knowledge Discovery in Scientific Literature. In Proceedings of the 12th Konferenz zur Verarbeitung natürlicher Sprache (KONVENS 2014). Hildesheim, Germany

Dirk Goldhahn, Steffen Remus, Uwe Quasthoff and Chris Biemann (2014): Top-Level Domain Crawling for Producing Comprehensive Monolingual Corpora from the Web. In Proceedings of the LREC-14 workshop on Challenges in the management of large corpora. Reykjavik, Iceland (pdf)
Steffen Remus (2014): Unsupervised Relation Extraction of In-Domain Data from Focused Crawls. In Proceedings of the Student Research Workshop at the 14th Conference of the European Chapter of the Association for Computational Linguistics. Gothenburg, Sweden (pdf, bib)
Steffen Remus and Chris Biemann (2013): Three Knowledge-Free Methods for Automatic Lexical Chain Extraction. In Proceedings of the 2013 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies. Atlanta, GA, USA (pdf, bib)