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
Informational redundancy and resource bounds in dialogue
Informational redundancy and resource bounds in dialogue
Empirical methods for artificial intelligence
Empirical methods for artificial intelligence
International Journal of Human-Computer Studies - Special issue on collaboration, cooperation and conflict in dialogue systems
Planning English Sentences
Intentional influences on object redescriptions in dialogue: evidence from an empirical study
Intentional influences on object redescriptions in dialogue: evidence from an empirical study
An empirical investigation of proposals in collaborative dialogues
COLING '98 Proceedings of the 17th international conference on Computational linguistics - Volume 1
Investigating cue selection and placement in tutorial discourse
ACL '95 Proceedings of the 33rd annual meeting on Association for Computational Linguistics
Cues and control in expert-client dialogues
ACL '88 Proceedings of the 26th annual meeting on Association for Computational Linguistics
Redundancy in collaborative dialogue
COLING '92 Proceedings of the 14th conference on Computational linguistics - Volume 1
Integrating Gricean and attentional constraints
IJCAI'95 Proceedings of the 14th international joint conference on Artificial intelligence - Volume 2
Corpus-based NP modifier generation
NAACL '01 Proceedings of the second meeting of the North American Chapter of the Association for Computational Linguistics on Language technologies
Generating Referring Expressions: Making Referents Easy to Identify
Computational Linguistics
Conceptual coherence in the generation of referring expressions
COLING-ACL '06 Proceedings of the COLING/ACL on Main conference poster sessions
Statistical Surface Realisation of Portuguese Referring Expressions
GoTAL '08 Proceedings of the 6th international conference on Advances in Natural Language Processing
Overspecified reference in hierarchical domains: measuring the benefits for readers
INLG '06 Proceedings of the Fourth International Natural Language Generation Conference
The prevalence of descriptive referring expressions in news and narrative
ACLShort '10 Proceedings of the ACL 2010 Conference Short Papers
Introducing shared tasks to NLG: the TUNA shared task evaluation challenges
Empirical methods in natural language generation
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While previous work suggests that multiple goals can be addressed by a nominal expression, there is no systematic work describing what goals in addition to identification might be relevant and how speakers can use nominal expressions to achieve them. In this paper, we first hypothesize a number of communicative goals that could be addressed by nominal expressions in task-oriented dialogues. We then describe the intentional influences model for nominal expression generation that attempts to simultaneously address the identification goal and these additional goals with a single nominal expression. Our evaluation results show that the intentional influences model fits the nominal expressions in the COCONUT corpus as well as previous accounts that focus solely on the identification goal.