| Automatic noun compound interpretation using deep neural networks and word embeddings C Dima, E Hinrichs Proceedings of the 11th International Conference on Computational Semantics …, 2015 | 47 | 2015 |
| Intui2: A Prototype System for Question Answering over Linked Data. C Dima CLEF (Working Notes), 2013 | 39 | 2013 |
| Answering Natural Language Questions with Intui3. C Dima CLEF (Working Notes), 1201-1211, 2014 | 34 | 2014 |
| On the compositionality and semantic interpretation of english noun compounds C Dima Proceedings of the 1st Workshop on Representation Learning for NLP, 27-39, 2016 | 16 | 2016 |
| Reverse-engineering language: A study on the semantic compositionality of german compounds C Dima Proceedings of the 2015 Conference on Empirical Methods in Natural Language …, 2015 | 16 | 2015 |
| PP Attachment: where do we stand? D de Kok, J Ma, C Dima, E Hinrichs Proceedings of the 15th Conference of the European Chapter of the …, 2017 | 13 | 2017 |
| How to tell a schneemann from a milchmann: An annotation scheme for compound-internal relations C Dima, V Henrich, E Hinrichs, C Hoppermann Proceedings of the Ninth International Conference on Language Resources and …, 2014 | 8 | 2014 |
| Wikidated 1.0: An Evolving Knowledge Graph Dataset of Wikidata's Revision History L Schmelzeisen, C Dima, S Staab arXiv preprint arXiv:2112.05003, 2021 | 6 | 2021 |
| No word is an island—a transformation weighting model for semantic composition C Dima, D de Kok, N Witte, E Hinrichs Transactions of the Association for Computational Linguistics 7, 437-451, 2019 | 6 | 2019 |
| Through the looking glass: Two approaches to visualizing linguistic syntax trees C Culy, C Dima, E Dima 2012 16th International Conference on Information Visualisation, 214-219, 2012 | 5 | 2012 |
| A semi-automatic, iterative method for creating a domain-specific treebank C Dima, E Hinrichs Proceedings of the International Conference Recent Advances in Natural …, 2011 | 5 | 2011 |
| Extracting a PP Attachment Data Set from a German Dependency Treebank Using Topological Fields. D de Kok, C Dima, J Ma, EW Hinrichs TLT, 89-98, 2017 | 4 | 2017 |
| Classifying Semantic Relations in German Nominal Compounds using a Hybrid Annotation Scheme. D Sorokin, C Dima, E Hinrichs Journal of Cognitive Science 16 (3), 2015 | 3 | 2015 |
| Why would a robot make use of pronouns? An evolutionary investigation of the emergence of pronominal anaphora D Cristea, E Dima, C Dima Anaphora Processing and Applications: 7th Discourse Anaphora and Anaphor …, 2009 | 3 | 2009 |
| A Corpus-Based Model of Semantic Plausibility for German Bracketing Paradoxes. C Dima, J Ma, S Bücking, F Buscher, J Herdtfelder, J Lukassek, ... CDH@ TLT, 64-70, 2017 | 2 | 2017 |
| WikiMed-DE: Constructing a Silver-Standard Dataset for German Biomedical Entity Linking using Wikipedia and Wikidata Y Wang, C Dima, S Staab | 1 | 2023 |
| Leveraging Wikidata for biomedical entity linking in a low-resource setting: a case study for German FE Mustafa, C Dima, JG Diaz Ochoa, S Staab | | 2024 |
| The Aluminum Standard: Using Generative Artificial Intelligence Tools to Synthesize and Annotate Non-Structured Patient Data JGD Ochoa, FE Mustafa, F Weil, Y Wang, C Dima, K Kama, M Knott | | 2023 |
| [Novel] WikiMed-DE: Constructing a Silver-Standard Dataset for German Biomedical Entity Linking using Wikipedia and Wikidata Y Wang, C Dima, S Staab The 4th Wikidata Workshop, 2023 | | 2023 |
| Distributional regularities of verbs and verbal adjectives: Treebank evidence and broader implications D de Kok, P Fischer, C Dima, E Hinrichs Proceedings of the 16th International Workshop on Treebanks and Linguistic …, 2017 | | 2017 |
