LawStats – Large-scale German Court Decision Evaluation using Web Service Classifiers
Ruppert, E., Hartung, D., Sittig, P., Gschwander, T., Rönneburg, L., Kiling, T., Biemann, C. (2018)
In: Proceedings of CD-MAKE 2018. Hamburg, Germany.
Building a Web-Scale Dependency-Parsed Corpus from Common Crawl
Panchenko, A., Ruppert, E., Faralli, S., Ponzetto, S.P., Biemann, C. (2018)
In: Proceedings of LREC 2018, Myazaki, Japan. ELRA.
GermEval 2017: Shared Task on Aspect-based Sentiment in Social Media Customer Feedback
Wojatzki M., Ruppert E., Zesch T., Biemann C. (Editors) (2017)
In: Proceedings of the GSCL GermEval Shared Task on Aspect-based Sentiment in Social Media Customer Feedback, September 12, 2017, Berlin, Germany.
GermEval 2017: Shared Task on Aspect-based Sentiment in Social Media Customer Feedback
Wojatzki M., Ruppert E., Holschneider S., Zesch T., Biemann C. (2017)
In: Proceedings of the GSCL GermEval Shared Task on Aspect-based Sentiment in Social Media Customer Feedback, pages 1--12, Berlin, Germany.
LT-ABSA: An extensible open-source system for document-level and aspect-based sentiment analysis
Ruppert E., Kumar A., Biemann C. (2017)
In: Proceedings of the GSCL GermEval Shared Task on Aspect-based Sentiment in Social Media Customer Feedback, pages 55–60, Berlin, Germany.
Unsupervised, Knowledge-Free, and Interpretable Word Sense Disambiguation
Panchenko A., Fide M., Ruppert E., Faralli S., Ustalov D., Ponzetto S.P., Biemann C. (2017)
In: Proceedings of the the Conference on Empirical Methods on Natural Language Processing (EMNLP). Copenhagen, Denmark. Association for Computational Linguistics.
Unsupervised Does Not Mean Uninterpretable: The Case for Word Sense Induction and Disambiguation
Panchenko, A., Ruppert, E., Faralli, S., Ponzetto, S. P. and Biemann, C. (2017)
In: Proceedings of EACL 2017 (main), Valencia, Spain.
Unsupervised Conceptualization and Semantic Text Indexing for Information Extraction
Eugen Ruppert. 2016.
In: Proceedings of the ESWC 2016 (Student Research Workshop), p. 853--862, Anissaras, Crete, Greece.
TAXI: a Taxonomy Induction Method based on Lexico-Syntactic Patterns, Substrings and Focused Crawling
Alexander Panchenko, Stefano Faralli, Eugen Ruppert, Steffen Remus, Hubert Naets, Cédric Fairon, Simone Paolo Ponzetto and Chris Biemann. 2016.
In: Proceedings of the 10th International Workshop on Semantic Evaluation, Association for Computational Linguistics, San Diego, CA, USA.
http://tudarmstadt-lt.github.io/taxi/ [winning system]
JoBimViz: A Web-based Visualization for Graph-based Distributional Semantic Models
Eugen Ruppert, Manuel Kaufmann, Martin Riedl and Chris Biemann. 2015.
In: The Annual Meeting of the Association for Computational Linguistics (ACL) System Demonstrations, p. 103--108, Beijing, China.
http://maggie.lt.informatik.tu-darmstadt.de/jobimviz/
Analysing Domain Suitability of a Sentiment Lexicon by Identifying Distributionally Bipolar Words
Lucie Flekova, Eugen Ruppert and Daniel Preotiuc-Pietro. 2015.
In: Association for Computational Linguistics: Proceedings of the 6th Workshop on Computational Approaches to Subjectivity, Sentiment and Social Media Analysis, p. 77-84, Lisboa, Portugal.
Rule-based Dependency Parse Collapsing and Propagation for German and English
Eugen Ruppert, Jonas Klesy, Martin Riedl and Chris Biemann. 2015.
In: Proceedings of the GSCL 2015, GSCL 2015, p. 58--66, Essen, Germany.
http://jobimtext.org/dependency-collapsing/
