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
The representation and use of focus in a system for understanding dialogs
Readings in natural language processing
Temporal ontology and temporal reference
Computational Linguistics - Special issue on tense and aspect
Aspect, aspectual class, and the temporal structure of narrative
Computational Linguistics - Special issue on tense and aspect
A computational theory of the function of clue words in argument understanding
ACL '84 Proceedings of the 10th International Conference on Computational Linguistics and 22nd annual meeting on Association for Computational Linguistics
Now let's talk about now: identifying cue phrases intonationally
ACL '87 Proceedings of the 25th annual meeting on Association for Computational Linguistics
ACL '88 Proceedings of the 26th annual meeting on Association for Computational Linguistics
Analyzing explicitly-structured discourse in a limited domain: trouble and failure reports
HLT '89 Proceedings of the workshop on Speech and Natural Language
An algorithm for pronominal anaphora resolution
Computational Linguistics
TextTiling: segmenting text into multi-paragraph subtopic passages
Computational Linguistics
Getting at discourse referents
ACL '89 Proceedings of the 27th annual meeting on Association for Computational Linguistics
ACL '89 Proceedings of the 27th annual meeting on Association for Computational Linguistics
Mixed initiative in dialogue: an investigation into discourse segmentation
ACL '90 Proceedings of the 28th annual meeting on Association for Computational Linguistics
A prosodic analysis of discourse segments in direction-giving monologues
ACL '96 Proceedings of the 34th annual meeting on Association for Computational Linguistics
Temporal structure of discourse
COLING '92 Proceedings of the 14th conference on Computational linguistics - Volume 1
Resolving pronominal reference to abstract entities
ACL '02 Proceedings of the 40th Annual Meeting on Association for Computational Linguistics
Text and knowledge mining for coreference resolution
NAACL '01 Proceedings of the second meeting of the North American Chapter of the Association for Computational Linguistics on Language technologies
Combining hierarchical clustering and machine learning to predict high-level discourse structure
COLING '04 Proceedings of the 20th international conference on Computational Linguistics
Recognizing referential links: an information extraction perspective
ANARESOLUTION '97 Proceedings of a Workshop on Operational Factors in Practical, Robust Anaphora Resolution for Unrestricted Texts
ACL-IJCNLP '09 Proceedings of the Third Linguistic Annotation Workshop
AnCora-CO: Coreferentially annotated corpora for Spanish and Catalan
Language Resources and Evaluation
NADA: a robust system for non-referential pronoun detection
DAARC'11 Proceedings of the 8th international conference on Anaphora Processing and Applications
Abstract anaphors in german and english
DAARC'11 Proceedings of the 8th international conference on Anaphora Processing and Applications
Language Resources and Evaluation
Joint entity and event coreference resolution across documents
EMNLP-CoNLL '12 Proceedings of the 2012 Joint Conference on Empirical Methods in Natural Language Processing and Computational Natural Language Learning
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Computational approaches to discourse understanding have a two-part goal: (1) to identify those aspects of discourse understanding that require process-based accounts, and (2) to characterize the processes and data structures they involve. To date, in the area of reference, process-based accounts have been developed for subsequent reference via anaphoric pronouns and reference via definite descriptors. In this paper, I propose and argue for a process-based account of subsequent reference via deictic expressions. A significant feature of this account is that it attributes distinct mental reality to units of text often called discourse segments, a reality that is distinct from that of the entities described therein.