Text generation: using discourse strategies and focus constraints to generate natural language text
Text generation: using discourse strategies and focus constraints to generate natural language text
Definite NPs and background knowledge in medical text
Computers and Artificial Intelligence
Type-theoretical grammar
Centering: a framework for modeling the local coherence of discourse
Computational Linguistics
Constraints on the generation of referring expressions, with special reference to hindi
Constraints on the generation of referring expressions, with special reference to hindi
Journal of Functional Programming
Multilingual coreference resolution
ANLC '00 Proceedings of the sixth conference on Applied natural language processing
Optimizing Referential Coherence in Text Generation
Computational Linguistics
Attempto Controlled English for Knowledge Representation
Reasoning Web
Evaluating centering for information ordering using corpora
Computational Linguistics
HunPos: an open source trigram tagger
ACL '07 Proceedings of the 45th Annual Meeting of the ACL on Interactive Poster and Demonstration Sessions
An efficient algorithm for easy-first non-directional dependency parsing
HLT '10 Human Language Technologies: The 2010 Annual Conference of the North American Chapter of the Association for Computational Linguistics
Levels of organisation in ontology verbalisation
ENLG '11 Proceedings of the 13th European Workshop on Natural Language Generation
Interchanging lexical resources on the Semantic Web
Language Resources and Evaluation
Generating natural language descriptions from OWL ontologies: the natural OWL system
Journal of Artificial Intelligence Research
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During the last decade, there has been a shift from developing natural language generation systems to developing generic systems that are capable of producing natural language descriptions directly from Web ontologies. To make these descriptions coherent and accessible in different languages, a methodology is needed for identifying the general principles that would determine the distribution of referential forms. Previous work has proved through cross-linguistic investigations that strategies for building coreference are language dependent. However, to our knowledge, there is no language generation methodology that makes a distinction between languages about the generation of referential chains. To determine the principles governing referential chains, we gathered data from three languages: English, Swedish and Hebrew, and studied how coreference is expressed in a discourse. As a result of the study, a set of language specific coreference strategies were identified. Using these strategies, an ontology-based multilingual grammar for generating written natural language descriptions about paintings was implemented in the Grammatical Framework. A preliminary evaluation of our method shows language-dependent coreference strategies lead to better generation results.