This image shows Corina Dima

Corina Dima


Analytic Computing


Universitätsstraße 32
70569 Stuttgart
Room: 1.205

  1. Wang, Y., Dima, C., & Staab, S. (2023). WikiMed-DE: Constructing a Silver-Standard Dataset for German Biomedical Entity Linking using Wikipedia and Wikidata. The 4th Wikidata Workshop @ ISWC 2023.
  2. Schmelzeisen, L., Dima, C., & Staab, S. (2021). Wikidated 1.0: An Evolving Knowledge Graph Dataset of Wikidata’s Revision History. Wikidata Workshop @ ISWC 2021, 2982.
  3. Dima, G.-C. (2019). Composition Models for the Representation and Semantic Interpretation of Nominal Compounds [Universität Tübingen].
  4. Dima, C., de Kok, D., Witte, N., & Hinrichs, E. (2019). No Word is an Island---A Transformation Weighting Model for Semantic Composition. Transactions of the Association for Computational Linguistics, 7, 437--451.
  5. de Kok, D., Ma, J., Dima, C., & Hinrichs, E. (2017). PP Attachment: Where do We Stand? In M. Lapata, P. Blunsom, & A. Koller (Eds.), Proceedings of the 15th Conference of the European Chapter of the Association for Computational Linguistics: Volume 2, Short Papers (pp. 311--317). Association for Computational Linguistics.
  6. de Kok, D., Fischer, P., Dima, C., & Hinrichs, E. (2017). Distributional regularities of verbs and verbal adjectives: Treebank evidence and broader implications. In J. Hajic (Ed.), Proceedings of the 16th International Workshop on Treebanks and Linguistic Theories (pp. 1--9).
  7. de Kok, D., Dima, C., Ma, J., & Hinrichs, E. W. (2017). Extracting a PP Attachment Data Set from a German Dependency Treebank                  Using Topological Fields. In M. Dickinson, J. Hajic, S. Kübler, & A. Przepiórkowski (Eds.), Proceedings of the 15th International Workshop on Treebanks and Linguistic                  Theories (TLT15), Bloomington, IN, USA, January 20-21, 2017 (Vol. 1779, pp. 89--98).
  8. Dima, C. (2016). On the Compositionality and Semantic Interpretation of English Noun Compounds. In P. Blunsom, K. Cho, S. Cohen, E. Grefenstette, K. M. Hermann, L. Rimell, J. Weston, & S. W. Yih (Eds.), Proceedings of the 1st Workshop on Representation Learning for NLP (pp. 27--39). Association for Computational Linguistics.
  9. Dima, C., & Hinrichs, E. (2015). Automatic Noun Compound Interpretation using Deep Neural Networks and Word Embeddings. In M. Purver, M. Sadrzadeh, & M. Stone (Eds.), Proceedings of the 11th International Conference on Computational Semantics (pp. 173--183). Association for Computational Linguistics.
  10. Dima, C. (2015). Reverse-engineering Language: A Study on the Semantic Compositionality of German Compounds. In L. Màrquez, C. Callison-Burch, & J. Su (Eds.), Proceedings of the 2015 Conference on Empirical Methods in Natural Language Processing (pp. 1637--1642). Association for Computational Linguistics.
  11. Sorokin, D., Dima, C., & Hinrichs, E. (2015). Classifying Semantic Relations in German Nominal Compounds using a Hybrid Annotation Scheme. Journal of Cognitive Science, 16(3), Article 3.
  12. Dima, C., Henrich, V., Hinrichs, E., & Hoppermann, C. (2014). How to Tell a Schneemann from a Milchmann: An Annotation Scheme for Compound-Internal Relations. In N. Calzolari, K. Choukri, T. Declerck, H. Loftsson, B. Maegaard, J. Mariani, A. Moreno, J. Odijk, & S. Piperidis (Eds.), Proceedings of the Ninth International Conference on Language Resources and Evaluation (LREC’14) (pp. 1194--1201). European Language Resources Association (ELRA).
  13. Dima, C. (2014). Answering Natural Language Questions with Intui3. In L. Cappellato, N. Ferro, M. Halvey, & W. Kraaij (Eds.), Working Notes for CLEF 2014 Conference, Sheffield, UK, September                  15-18, 2014 (Vol. 1180, pp. 1201--1211).
  14. Dima, C. (2013). Intui2: A Prototype System for Question Answering over Linked Data. In P. Forner, R. Navigli, D. Tufis, & N. Ferro (Eds.), Working Notes for CLEF 2013 Conference , Valencia, Spain, September                  23-26, 2013 (Vol. 1179).
  15. Culy, C., Dima, C., & Dima, E. (2012). Through the Looking Glass: Two Approaches to Visualizing Linguistic Syntax Trees. 2012 16th International Conference on Information Visualisation, 214–219.
  16. Dima, C., & Hinrichs, E. (2011). A Semi-Automatic, Iterative Method for Creating a Domain-Specific Treebank. In R. Mitkov & G. Angelova (Eds.), Proceedings of the International Conference Recent Advances in Natural Language Processing 2011 (pp. 413--419). Association for Computational Linguistics.
  17. Cristea, D., Dima, E., & Dima, C. (2009). Why Would a Robot Make Use of Pronouns? An Evolutionary Investigation of the Emergence of Pronominal Anaphora. In S. Lalitha Devi, A. Branco, & R. Mitkov (Eds.), Anaphora Processing and Applications (pp. 1--14). Springer Berlin Heidelberg.
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