Planning english referring expressions
Artificial Intelligence - Lecture notes in computer science 178
Attention, intentions, and the structure of discourse
Computational Linguistics
Generating descriptions that exploit a user's domain knowledge
Current research in natural language generation
Translating Machine-Generated Resolution Proofs into ND-Proofs at the Assertion Level
PRICAI '96 Proceedings of the 4th Pacific Rim International Conference on Artificial Intelligence: Topics in Artificial Intelligence
Presenting Machine-Found Proofs
CADE-13 Proceedings of the 13th International Conference on Automated Deduction: Automated Deduction
Omega: Towards a Mathematical Assistant
CADE-14 Proceedings of the 14th International Conference on Automated Deduction
Generating referring expressions in a domain of objects and processes (language representation)
Generating referring expressions in a domain of objects and processes (language representation)
Generating referring expressions involving relations
EACL '91 Proceedings of the fifth conference on European chapter of the Association for Computational Linguistics
An algorithm for generating referential descriptions with flexible interfaces
ACL '98 Proceedings of the 35th Annual Meeting of the Association for Computational Linguistics and Eighth Conference of the European Chapter of the Association for Computational Linguistics
Donnellan's distinction and a computational model of reference
ACL '86 Proceedings of the 24th annual meeting on Association for Computational Linguistics
Some pragmatic issues in the planning of definite and indefinite noun phrases
ACL '85 Proceedings of the 23rd annual meeting on Association for Computational Linguistics
Cooking up referring expressions
ACL '89 Proceedings of the 27th annual meeting on Association for Computational Linguistics
The computational complexity of avoiding conversational implicatures
ACL '90 Proceedings of the 28th annual meeting on Association for Computational Linguistics
A computational model of referring
IJCAI'87 Proceedings of the 10th international joint conference on Artificial intelligence - Volume 2
Presentation and visualization: natural language presentation and automatic report generation
Handbook of data mining and knowledge discovery
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All known algorithms dedicated to the generation of referential descriptions use natural language alone to accomplish this communicative goal. Motivated by some limitations underlying these algorithms and the resulting restrictions in their scope, we attempt to extend the basic schema of these procedures to multimedia environments, that is, to descriptions consisting of images and text. We discuss several issues in this enterprise, including the transfer of basic ingredients to images and the hereby reinterpretation of language-specific concepts, matters of choice in the generation process, and the extended application potential in some typical scenarios. Moreover, we sketch our intended area of application, the identification of a particular object in the large visualization of mathematical proofs, which has some characteristic properties of each of these scenarios. Our achievement lies in extending the scope of techniques for generating referential descriptions through the incorporation of multimedia components and in enhancing the application areas for these techniques.