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Dr. Robert Remus

E-Mail: robertDOT.remus@googlemailDOT.com


Robert Remus is no longer a staff member of the NLP department.
Rremus

Research Focus

Sentiment Analysis / Opinion Mining, Corpus Linguistics & Textual Characteristics, Machine Learning

Activities

Resources

  • MLSA – a Multi-layered Reference Corpus for German Sentiment Analysis
  • SentiWS – a Publicly Available German-language Resource for Sentiment Analysis
  • Complete evaluation results accompanying the NODALIDA-2011 paper
  • Complete evaluation results accompanying the SENTIRE-2012 paper
  • Additional evaluation results accompanying the ESSEM-2013 paper

Awards

Events

Publications

2015
  • [HRP2015] Christian Hänig, Robert Remus, and Xose de la Puente: ExB Themis: Extensive Feature Extraction from Word Alignments for Semantic Textual Similarity. In: Proceedings of the 9th International Workshop on Semantic Evaluations, Denver, USA, ACL, 2015
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  • [HRDB2015] Hänig, C., Remus, R., Demchik, V., and Bordag, S.: ExB Medical Text Miner. In: Proceedings of the Fifth BioCreative Challenge Evaluation Workshop, Seville, Spain, 2015
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  • [ThoBeu2015] Stefan Thomas, Christian Beutenmüller, Xose de la Puente, Robert Remus, and Stefan Bordag: ExB Text Summarizer. In: 16th Annual Meeting of the Special Interest Group on Discourse and Dialogue (SIGDIAL), Prague, Czech Republic, 2015
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2014
  • [RemZie2014] Robert Remus and Dominique Ziegelmayer: Learning from Domain Complexity. In: Proceedings of the 9th International Conference on Language Resources and Evaluation (LREC), 2014
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2013
  • [Rem2013b] Remus, Robert: Modeling and Representing Negation in Data-driven Machine Learning-based Sentiment Analysis. In: Proceedings of the 1st International Workshop on Emotion and Sentiment in Social and Expressive Media (ESSEM), 2013
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  • [RemRill2013] Robert Remus and Sven Rill: Data-driven vs. Dictionary-based Approaches for Machine Learning-based Sentiment Analysis. In: Proceedings of the International Conference of the German Society for Computational Linguistics and Language Technology (GSCL), Springer, 2013
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  • [Rem2013a] Robert Remus: ASVUniOfLeipzig: Sentiment Analysis in Twitter using Data-driven Machine Learning Techniques. In: 2nd Joint Conference on Lexical and Computational Semantics (*SEM), Volume 2: Proceedings of the 7th International Workshop on Semantic Evaluation (SemEval), 2013
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2012
  • [SKRE2012] Antje Schlaf, Amit Kirschenbaum, Robert Remus, and Thomas Efer: Labeling Queries for a People Search Engine. In: Proceedings of the 17th International Conference on Applications of Natural Language Processing to Information Systems (NLDB), Springer, 2012
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  • [SchRem2012] Antje Schlaf and Robert Remus: Learning Categories and their Instances by Contextual Features. In: Proceedings of the 8th International Conference on Language Ressources and Evaluation (LREC), 2012
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  • [BanRemSch2012] Mathias Bank, Robert Remus, and Martin Schierle : Textual Characteristics for Language Engineering. In: Proceedings of the 8th International Conference on Language Ressources and Evaluation (LREC), 2012
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  • [CleGinKlePetRemRupWalWie2012] Simon Clematide, Stefan Gindl, Manfred Klenner, Stefanos Petrakis, Robert Remus, Josef Ruppenhofer, Ulli Waltinger, and Michael Wiegand: MLSA -- A Multi-layered Reference Corpus for German Sentiment Analysis. In: Proceedings of the 8th International Conference on Language Ressources and Evaluation (LREC), 2012
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  • [RemBan2012] Robert Remus and Mathias Bank: Textual Characteristics of Different-sized Corpora. In: Proceedings of the 5th Workshop on Building and Using Comparable Corpora (BUCC), 2012
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  • [Rem2012] Robert Remus: Domain Adaptation Using Domain Similarity- and Domain Complexity-based Instance Selection for Cross-domain Sentiment Analysis. In: Proceedings of the 2012 IEEE 12th International Conference on Data Mining Workshops (ICDMW 2012) Workshop on Sentiment Elicitation from Natural Text for Information Retrieval and Extraction (SENTIRE), 2012
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2011
  • [Rem2011] Robert Remus: Improving Sentence-level Subjectivity Classification through Readability Measurement. In: Proceedings of the 18th International Nordic Conference of Computational Linguistics (NODALIDA), NEALT, 2011
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  • [RemHae2011] Robert Remus and Christian Hänig: Towards Well-grounded Phrase-level Polarity Analysis. In: Proceedings of the 12th International Conference on Intelligent Text Processing and Computational Linguistics (CICLing) , Springer, 2011
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2010
  • [RemQuaHey2010] Robert Remus, Uwe Quasthoff, and Gerhard Heyer: SentiWS -- a Publicly Available German-language Resource for Sentiment Analysis. In: Proceedings of the 7th International Language Resources and Evaluation (LREC), 2010
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  • [RemAhm2010] Robert Remus and Khurshid Ahmad: Stimmungen in deutschsprachigen Nachrichten, Blogs und dem DAX. DTT Deutscher Terminologie-Tag e.V., 2010
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2009
  • [RemAhmHey2009] Robert Remus, Khurshid Ahmad, and Gerhard Heyer: Sentiment in German-language News and Blogs, and the DAX. In: Proceedings of the Conference on Text Mining Services (TMS), 2009
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