Ruprecht-Karls-Universität Heidelberg



  • Do, B.-N. and Rehbein, I. (2020):
    Parsers Know Best: German PP Attachment Revisited. Proceedings of the 28th International Conference on Computational Linguistics (COLING 2020), Barcelona, Spain (Online), pp. 2049--2061, International Committee on Computational Linguistics. [ bib | http ]
  • Do, B.-N. and Rehbein, I. (2020):
    Neural Reranking for Dependency Parsing: An Evaluation. Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics (ACL 2020), Online, pp. 4123--4133, Association for Computational Linguistics. [ bib | http ]
  • Fankhauser, P., Do, B.-N., and Kupietz, M. (2020):
    Evaluating a Dependency Parser on DeReKo. Proceedings of the 8th Workshop on the Challenges in the Management of Large Corpora (CMLC-8), Marseille, France, pp. 10--14. [ bib | .pdf ]


  • Rehbein, I., Ruppenhofer, J., and Do, B.-N. (2019):
    tweeDe - A Universal Dependencies Treebank for German Tweets. Proceedings of the 18th International Workshop on Treebanks and Linguistic Theories (TLT, SyntaxFest 2019), Paris, France, pp. 100--108. [ bib | http ]


  • Do, B.-N., Rehbein, I., and Frank, A. (2017):
    What Do We Need to Know about an Unknown Word When Parsing German. Proceedings of the 1st Workshop on Subword and Character Level Models in NLP (SCLeM 2017), Copenhagen, Denmark, September, pp. 117--123. [ bib | http ]
  • Do, B.-N. and Rehbein, I. (2017):
    Evaluating LSTM Models for Grammatical Function Labelling. Proceedings of the 15th International Conference on Parsing Technologies (IWPT 2017), Pisa, Italy, September, pp. 128--133. [ bib | http ]
  • Rehbein, I., Steen, J., Do, B.-N., and Frank, A. (2017):
    Universal Dependencies are Hard to Parse - or are They? Proceedings of the International Conference on Dependency Linguistics (Depling 2017), Pisa, Italy, September, pp. 218--228. [ bib | http ]
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