Attention, intentions, and the structure of discourse
Computational Linguistics
A flexible interface for linking applications to Penman's sentence generator
HLT '89 Proceedings of the workshop on Speech and Natural Language
Planning English Sentences
Generating appropriate natural language object descriptions
Generating appropriate natural language object descriptions
Automatic generation of on-line documentation in the IDAS project
ANLC '92 Proceedings of the third conference on Applied natural language processing
Donnellan's distinction and a computational model of reference
ACL '86 Proceedings of the 24th annual meeting on Association for Computational Linguistics
Providing a unified account of definite noun phrases in discourse
ACL '83 Proceedings of the 21st 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 model for multimodal reference resolution
Computational Linguistics
An empirical study on the generation of anaphora in Chinese
Computational Linguistics
Automatic generation of on-line documentation in the IDAS project
ANLC '92 Proceedings of the third conference on Applied natural language processing
Planning reference choices for argumentative texts
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
Sentence planning as description using tree adjoining grammar
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
Using classification to generate text
ACL '92 Proceedings of the 30th annual meeting on Association for Computational Linguistics
An empirical study on the generation of zero anaphors in Chinese
COLING '94 Proceedings of the 15th conference on Computational linguistics - Volume 2
Collaboration on reference to objects that are not mutually known
COLING '94 Proceedings of the 15th conference on Computational linguistics - Volume 2
Referring to world objects with text and pictures
COLING '94 Proceedings of the 15th conference on Computational linguistics - Volume 1
Information based intonation synthesis
HLT '94 Proceedings of the workshop on Human Language Technology
Generating referring quantified expressions
INLG '00 Proceedings of the first international conference on Natural language generation - Volume 14
Generating referring expressions in open domains
ACL '04 Proceedings of the 42nd Annual Meeting on Association for Computational Linguistics
Generation of repeated references to discourse entities
ENLG '07 Proceedings of the Eleventh European Workshop on Natural Language Generation
ENLG '09 Proceedings of the 12th European Workshop on Natural Language Generation
Sentence planning for realtime navigational instructions
NAACL-Short '06 Proceedings of the Human Language Technology Conference of the NAACL, Companion Volume: Short Papers
Planning referential acts for animated presentation agents
ReferringPhenomena '97 Referring Phenomena in a Multimedia Context and their Computational Treatment
On moving on on ontologies: mass, count and long thin things
INLG '94 Proceedings of the Seventh International Workshop on Natural Language Generation
Planning reference choices for argumentative texts
INLG '94 Proceedings of the Seventh International Workshop on Natural Language Generation
Has a consensus NL generation architecture appeared, and is it psycholinguistically plausible?
INLG '94 Proceedings of the Seventh International Workshop on Natural Language Generation
CORECT: combining CSCW with natural language generation for collaborative requirements capture
INLG '94 Proceedings of the Seventh International Workshop on Natural Language Generation
Viewing referring expression generation as search
IJCAI'05 Proceedings of the 19th international joint conference on Artificial intelligence
Algorithms for generating referring expressions: do they do what people do?
INLG '06 Proceedings of the Fourth International Natural Language Generation Conference
Noun phrase generation for situated dialogs
INLG '06 Proceedings of the Fourth International Natural Language Generation Conference
INLG '08 Proceedings of the Fifth International Natural Language Generation Conference
NIL-UCM: most-frequent-value-first attribute selection and best-scoring-choice realization
INLG '08 Proceedings of the Fifth International Natural Language Generation Conference
Enrichment of automatically generated texts using metaphor
MICAI'07 Proceedings of the artificial intelligence 6th Mexican international conference on Advances in artificial intelligence
Spatial knowledge representation for human-robot interaction
Spatial cognition III
The prevalence of descriptive referring expressions in news and narrative
ACLShort '10 Proceedings of the ACL 2010 Conference Short Papers
Generating referring expressions in context: the GREC task evaluation challenges
Empirical methods in natural language generation
A translation from logic to English with dynamic semantics
JSAI-isAI'09 Proceedings of the 2009 international conference on New frontiers in artificial intelligence
Agent-Based solutions for natural language generation tasks
CAEPIA'05 Proceedings of the 11th Spanish association conference on Current Topics in Artificial Intelligence
Computational generation of referring expressions: A survey
Computational Linguistics
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We simplify previous work in the development of algorithms for the generation of referring expressions while at the same time taking account of psycholinguistic findings and transcript data. The result is a straightforward algorithm that is computationally tractable, sensitive to the preferences of human users, and reasonably domain-independent. We provide a specification of the resources a host system must provide in order to make use of the algorithm, and describe an implementation used in the IDAS system.