Fuzzy set theory—and its applications (3rd ed.)
Fuzzy set theory—and its applications (3rd ed.)
Using Natural-Language Processing to Produce Weather Forecasts
IEEE Expert: Intelligent Systems and Their Applications
Multilingual authoring using feedback texts
COLING '98 Proceedings of the 17th international conference on Computational linguistics - Volume 2
ACL '99 Proceedings of the 37th annual meeting of the Association for Computational Linguistics on Computational Linguistics
Generating referring expressions: boolean extensions of the incremental algorithm
Computational Linguistics
Graph-based generation of referring expressions
Computational Linguistics
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Logical form equivalence: the case of referring expressions generation
EWNLG '01 Proceedings of the 8th European workshop on Natural Language Generation - Volume 8
A meta-algorithm for the generation of referring expressions
EWNLG '01 Proceedings of the 8th European workshop on Natural Language Generation - Volume 8
Generating Referring Expressions that Involve Gradable Properties
Computational Linguistics
Generating referring expressions in open domains
ACL '04 Proceedings of the 42nd Annual Meeting on Association for Computational Linguistics
Artificial Intelligence - Special volume on connecting language to the world
Generating references to parts of recursively structured objects
INLG '06 Proceedings of the Fourth International Natural Language Generation Conference
GRE3D7: a corpus of distinguishing descriptions for objects in visual scenes
UCNLG+EVAL '11 Proceedings of the UCNLG+Eval: Language Generation and Evaluation Workshop
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This paper deals with the generation of definite (i.e., uniquely referring) descriptions containing semantically vague expressions ('large', 'small', etc.). Firstly, the paper proposes a semantic analysis of vague descriptions that does justice to the context-dependent meaning of the vague expressions in them. Secondly, the paper shows how this semantic analysis can be implemented using a modification of the Dale and Reiter (1995) algorithm for the generation of referring expressions. A notable feature of the new algorithm is that, unlike Dale and Reiter (1995), it covers plural as well as singular NPs. This algorithm has been implemented in an experimental NLG program using ProFIT. The paper concludes by formulating some pragmatic constraints that could allow a generator to choose between different semantically correct descriptions.