This image shows Corina Dima

Corina Dima

Dr.

Researcher
KI
Analytic Computing

Contact

+49 711 685 88116

Universitätsstraße 32
70569 Stuttgart
Germany
Room: 1.205

Publications:
  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. https://openreview.net/forum?id=5dQ7YDSYya
  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. https://ceur-ws.org/Vol-2982/paper-11.pdf
  3. Dima, G.-C. (2019). Composition Models for the Representation and Semantic Interpretation of Nominal Compounds [Universität Tübingen]. https://doi.org/10.15496/PUBLIKATION-28485
  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. https://doi.org/10.1162/tacl_a_00275
  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. https://aclanthology.org/E17-2050
  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). https://aclanthology.org/W17-7603
  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). CEUR-WS.org. https://ceur-ws.org/Vol-1779/07dekok.pdf
  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. https://doi.org/10.18653/v1/W16-1604
  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. https://aclanthology.org/W15-0122
  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. https://doi.org/10.18653/v1/D15-1188
  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). http://www.lrec-conf.org/proceedings/lrec2014/pdf/329_Paper.pdf
  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). CEUR-WS.org. https://ceur-ws.org/Vol-1180/CLEF2014wn-QA-Dima2014.pdf
  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). CEUR-WS.org. https://ceur-ws.org/Vol-1179/CLEF2013wn-QALD3-Dima2013.pdf
  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. https://doi.org/10.1109/IV.2012.44
  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. https://aclanthology.org/R11-1057
  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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