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Corina Dima

Observed names: Dima, Corina, Dima, Gina-Corina
ORCID: 0000-0001-7409-4992
Observed ORCID: 0000-0001-7409-4992
OpenAlex ID: A5065338642
Automatic Noun Compound Interpretation using Deep Neural Networks and Word Embeddings
2015 · Corina Dima, Erhard Hinrichs · 31
Intui2: A Prototype System for Question Answering over Linked Data.
2013 · Corina Dima · 25
On the Compositionality and Semantic Interpretation of English Noun Compounds
2016 · Corina Dima · Workshop on Representation Learning for NLP (RepL4NLP) · 17
Answering Natural Language Questions with Intui3.
2014 · Corina Dima · CLEF (Working Notes) · 15
Reverse-engineering Language: A Study on the Semantic Compositionality of German Compounds
2015 · Corina Dima · Conference on Empirical Methods in Natural Language Processing (EMNLP) · 13
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PP Attachment: Where do We Stand?
2017 · Daniël de Kok, Jianqiang Ma, et al. · Conference of the European Chapter of the Association for Computational Linguistics · 8
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The aluminum standard: using generative Artificial Intelligence tools to synthesize and annotate non-structured patient data
2024 · Juan G. Diaz Ochoa, Faizan E Mustafa, et al. · BMC Medical Informatics and Decision Making · 6
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No Word is an Island—A Transformation Weighting Model for Semantic Composition
2019 · Corina Dima, Daniël de Kok, et al. · Transactions of the Association for Computational Linguistics · 6
How to Tell a Schneemann from a Milchmann: An Annotation Scheme for Compound-Internal Relations
2014 · Corina Dima, Verena Henrich, et al. · Language Resources and Evaluation Conference (LREC) · 6
Who is targeted? Detecting social group mentions in online political discussions
2024 · Farane Jalali Farahani, Sara Hanke, et al. · 3
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Extracting a PP attachment data set from a German dependency treebank using topological fields
2017 · Daniël De Kok, Corina Dima, et al. · IEEE Transactions on Learning Technologies · 3
Why Would a Robot Make Use of Pronouns? An Evolutionary Investigation of the Emergence of Pronominal Anaphora
2009 · Dan Cristea, Emanuel Dima, et al. · Lecture notes in computer science · 3
Leveraging Wikidata for Biomedical Entity Linking in a Low-Resource Setting: A Case Study for German
2024 · Faizan E Mustafa, Corina Dima, et al. · Clinical Natural Language Processing Workshop (ClinicalNLP) · 2
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Through the Looking Glass: Two Approaches to Visualizing Linguistic Syntax Trees
2012 · Chris Culy, Corina Dima, et al. · Proceedings · 2
Composition Models for the Representation and Semantic Interpretation of Nominal Compounds
2019 · Dima, Gina-Corina · Universitätsbibliothek Tübingen · 1
de-nncom-sem - Dataset of German noun-noun compounds annotated with semantic relations (properties) and prepositions
2017 · Telljohann, Heike, Hoppermann, Christina, et al. · FDAT · 1
A Corpus-Based Model of Semantic Plausibility for German Bracketing Paradoxes.
2017 · Corina Dima, Jianqiang Ma, et al. · 1
A Semi-Automatic, Iterative Method for Creating a Domain-Specific Treebank
2011 · Corina Dima, Erhard Hinrichs · Recent Advances in Natural Language Processing · 1
STEREODISCO: Discovering Stereotypicality in LLMs
2026 · Farahani, Farane Jalali, Dima, Corina, et al. · arXiv (Cornell University)
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BioELX: Context-Aware Cross-lingual Biomedical Entity Linking without Task-Specific Supervision
2026 · Wang, Yi, Dima, Corina, et al. · ePrints Soton (University of Southampton)
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WikiMed-DE
2023 · Wang, Yi, Dima, Corina, et al. · Zenodo (CERN European Organization for Nuclear Research)
Wikidated 1.0: An Evolving Knowledge Graph Dataset of Wikidata's Revision History
2021 · Schmelzeisen, Lukas, Dima, Corina, et al. · arXiv (Cornell University)
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Distributional regularities of verbs and verbal adjectives : treebank evidence and broader implications
2017 · Daniël De Kok, Patricia Fischer, et al. · IEEE Transactions on Learning Technologies
Classifying Semantic Relations in German Nominal Compounds using a Hybrid Annotation Scheme
2015 · Daniil Sorokin, Erhard Hinrichs, et al. · Journal of Cognitive Science
Works count: 33
Citation count: 144
H-index: 6
I10-index: 5
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