Getting computers to talk like you and me
Getting computers to talk like you and me
Attention, intentions, and the structure of discourse
Computational Linguistics
Towards a Computational Theory of Definite Anaphora Comprehension in English Discourse
Towards a Computational Theory of Definite Anaphora Comprehension in English Discourse
Generating appropriate natural language object descriptions
Generating appropriate natural language object descriptions
A property-sharing constraint in Centering
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
ACL '93 Proceedings of the 31st annual meeting on Association for Computational Linguistics
Intention-based segmentation: human reliability and correlation with linguistic cues
ACL '93 Proceedings of the 31st annual meeting on Association for Computational Linguistics
Getting at discourse referents
ACL '89 Proceedings of the 27th annual meeting on Association for Computational Linguistics
Cooking up referring expressions
ACL '89 Proceedings of the 27th annual meeting on Association for Computational Linguistics
Combining multiple knowledge sources for discourse segmentation
ACL '95 Proceedings of the 33rd annual meeting on Association for Computational Linguistics
Empirical studies in discourse
Computational Linguistics
Dealing with distinguishing descriptions in a guided composition system
COLING '98 Proceedings of the 17th international conference on Computational linguistics - Volume 2
Can nominal expressions achieve multiple goals?: an empirical study
ACL '00 Proceedings of the 38th Annual Meeting on Association for Computational Linguistics
Learning attribute selections for non-pronominal expressions
ACL '00 Proceedings of the 38th Annual Meeting on Association for Computational Linguistics
Learning content selection rules for generating object descriptions in dialogue
Journal of Artificial Intelligence Research
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This paper concerns how to generate and understand discourse anaphoric noun phrases 1 present the results of an analysis of all discourse anaphoric noun phrases (N = 1,233) in a corpus of ten narrative monologues, where the choice between a definite pronoun or phrasal NP conforms largely to Gncean constraints on informativeness I discuss Dale & Reiter's [To appear] recent model and show how it can be augmented for understanding as well as generating the range of data presented here I argue that integrating centering [Grosz et al, 1983] [Kameyama, 1985] with this model can be applied uniformly to discourse anaphoric pronouns and phrasal NPs I conclude with a hypothesis for addressing the interaction between local and global discourse processing.