Searching for authors named "Michael Hess" – sorted by Relevance.
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Descriptional Anaphora in Discourse Representation Theory
- ABSTRACT DESCRIPTIONAL ANAPHORA IN DISCOURSE REPRESENTATION THEORY Michael Hess Department
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An Incrementally Extensible Document Retrieval System Based on Linguistic and Logical Principles
- Michael Hess ISSCO, University of Geneva, Switzerland Abstract Most natural language based document
- Cited by 10 (3 self) – Add To MetaCart
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Mixed-Level Knowledge Representations And Variable-Depth Inference In Natural Language Processing
- MICHAEL HESS University of Zurich, Dept. of Computer Sciences CH-8057 Zurich, Switzerland hess
- Cited by 2 (2 self) – Add To MetaCart
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Steps towards Semantically Annotated Language Resources
- Steps towards Semantically Annotated Language Resources Manfred Klenner, Fabio Rinaldi, Michael
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How Does Natural Language Quantify?
- Natural Language quantifies. HOW DOES NATURAL LANGUAGE QUANTIFY? Michael Hess University of Zurich
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Answer Extraction Using A Dependency Grammar In ExtrAns
- Diego MOLLÁ Gerold SCHNEIDER Rolf SCHWITTER Michael HESS * Résumé - Abstract Nous exposons ici l
- Cited by 7 (4 self) – Add To MetaCart
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ExtrAns - Answer Extraction from Technical Documents by Minimal Logical Forms and Selective Highlighting
- Highlighting Rolf Schwitter, Diego Moll, Michael Hess Department of Computer Science Computational Linguistics
- Cited by 6 (1 self) – Add To MetaCart
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Answer Extraction - Towards better Evaluations of NLP Systems
- and Rachel Fournier and Michael Hess Department of Information Technology Computational Linguistics Group
- Cited by 3 (0 self) – Add To MetaCart
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The Challenge of Technical Text
- The Challenge of Technical Text Michael Hess, James Dowdall, Fabio Rinaldi University of Zurich
- Cited by 1 (1 self) – Add To MetaCart
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Towards Answer Extraction: An Application to Technical Domains
- and Michael Hess and Diego Moll a y and Rolf Schwitter y Abstract. The shortcomings of traditional
- Cited by 7 (7 self) – Add To MetaCart

