Christian F. Hempelmann

Also published as: Christian Hempelmann


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SemEval-2017 Task 7: Detection and Interpretation of English Puns
Tristan Miller | Christian Hempelmann | Iryna Gurevych
Proceedings of the 11th International Workshop on Semantic Evaluation (SemEval-2017)

A pun is a form of wordplay in which a word suggests two or more meanings by exploiting polysemy, homonymy, or phonological similarity to another word, for an intended humorous or rhetorical effect. Though a recurrent and expected feature in many discourse types, puns stymie traditional approaches to computational lexical semantics because they violate their one-sense-per-context assumption. This paper describes the first competitive evaluation for the automatic detection, location, and interpretation of puns. We describe the motivation for these tasks, the evaluation methods, and the manually annotated data set. Finally, we present an overview and discussion of the participating systems’ methodologies, resources, and results.


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Evaluating State-of-the-Art Treebank-style Parsers for Coh-Metrix and Other Learning Technology Environments
Christian F. Hempelmann | Vasile Rus | Arthur C. Graesser | Danielle S. McNamara
Proceedings of the Second Workshop on Building Educational Applications Using NLP


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Semantic forensics: An application of ontological semantics to information assurance
Victor Raskin | Christian F. Hempelmann | Katrina E. Triezenberg
Proceedings of the 2nd Workshop on Text Meaning and Interpretation


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The genesis of a script for bankruptcy in ontological semantics
Victor Raskin | Sergei Nirenburg | Christian F. Hempelmann | Inna Nirenburg | Katrina E. Triezenberg
Proceedings of the HLT-NAACL 2003 Workshop on Text Meaning


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Why NLP Should Move into IAS
Victor Raskin | Sergei Nirenburg | Mikhail J. Atallah | Christian F. Hempelmann | Katrina E. Triezenberg
COLING-02: A Roadmap for Computational Linguistics