Dr. Josef Ruppenhofer

Leibniz-Institut für Deutsche Sprache
R 5, 6-13, Büro 1.08
D-68161 Mannheim

E-Mail: ruppenhofer(at)ids-mannheim.de

Tel.: +49 621 / 1581 – 108
Fax: +49 621 / 1581 – 200

Funktion:

Zur Person:

Forschungsinteressen:

Konstruktiongrammatik, Framesemantik, Computerlexikographie, Sentimentanalyse, (expressive) Morphologie, Sprache in sozialen Medien, Korpuslinguistik

Aktuelle Publikationen:

  • Josef Ruppenhofer and Ines Rehbein. I've got a construction looks funny – representing and recovering non-standard constructions in UD. Proceedings of the Fourth Workshop on Universal Dependencies (UDW 2020), Barcelona, Spain, 2020.
  • Josef Ruppenhofer, Ines Rehbein and Carolina Flinz. Fine-grained Named Entity Annotations for German Biographic Interviews. Proceedings of the 12th International Conference on Language Resources and Evaluation (LREC), Marseille, France 2020.
  • Ines Rehbein, Josef Ruppenhofer and Thomas Schmidt. Improving Sentence Boundary Detection for Spoken Language Transcripts. Proceedings of the 12th International Conference on Language Resources and Evaluation (LREC), Marseille, France, 2020.
  • Sanguinetti, Manuela/Bosco, Cristina/Cassidy, Lauren/Çetinoğlu, Özlem/Cignarella, Alessandra Teresa/Lynn, Teresa/Rehbein, Ines/Ruppenhofer, Josef/Seddah, Djamé/Zeldes, Amir. Treebanking User-Generated Content: A Proposal for a Unified Representation in Universal Dependencies. Proceedings of the 12th International Conference on Language Resources and Evaluation (LREC), Marseille, France, 2020.
  • Marc Schulder, Michael Wiegand and Josef Ruppenhofer. Automatic generation of lexica for sentiment polarity shifters. In: Natural Language Engineering (First View), 2020.
  • Josef Ruppenhofer and Ines Rehbein. Detecting the boundaries of sentence-like units on spoken German. In: Preliminary proceedings of the 15th Conference on Natural Language Processing (KONVENS 2019), Erlangen, 2019.
  • Michael Wiegand, Josef Ruppenhofer and Thomas Kleinbauer. Detection of Abusive Language: the Problem of Biased Datasets. Proceedings of NAACL 2019, Minneapolis, 2019.
  • Esther van den Berg, Katharina Korfhage, Michael Wiegand,  and Josef Ruppenhofer. Not my president: how names and titles frame political figures. Proceedings of the Third Workshop on Natural Language Processing and Computational Social Science, Minneapolis, 2019.
  • Esther van den Berg, Katharina Korfhage, Josef Ruppenhofer, Michael Wiegand,  and Katja Markert. Not my president: how names and titles frame political figures. Proceedings of the Third Workshop on Natural Language Processing and Computational Social Science, Minneapolis, 2019.
  • Ines Rehbein, Josef Ruppenhofer and Victor Zimmermann. A harmonised testsuite for POS tagging of German social media data. Proceedings of KONVENS 2018, Vienna, September 2018.
  • Ines Rehbein and Josef Ruppenhofer Sprucing up the trees – Error detection in treebanks. Proceedings of COLING 2018, Santa Fe, August 2018.
  • Josef Ruppenhofer, Michael Wiegand, Rebecca Wilm and Katja Markert. Distinguishing affixoid formations from compounds. Proceedings of COLING 2018, Santa Fe, August 2018.
  • Michael Wiegand, Josef Ruppenhofer, Anna Schmidt and Clayton Greenberg. Inducing a Lexicon of Abusive Words — A Feature-Based Approach. Proceedings of NAACL 2018, New Orleans, June 2018.

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