An evaluation of retrieval effectiveness for a full-text document-retrieval system
Communications of the ACM
Attention, intentions, and the structure of discourse
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
Sentence fragments regular structures
ACL '88 Proceedings of the 26th annual meeting on Association for Computational Linguistics
Discourse deixis: reference to discourse segments
ACL '88 Proceedings of the 26th annual meeting on Association for Computational Linguistics
Workshop on the evaluation of natural language processing systems
Computational Linguistics
Answers and questions: processing messages and queries
HLT '89 Proceedings of the workshop on Speech and Natural Language
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Recent theories of focusing and reference rely crucially on discourse structure to constrain the availability of discourse entities for reference, but deriving the structure of an arbitrary discourse has proved to be a significant problem. A useful level of problem reduction may be achieved by analyzing discourse in which the structure is explicit, rather than implicit. In this paper we consider a genre of explicitly-structured discourse: the Trouble and Failure Report (TFR), whose structure is both explicit and constant across discourses. We present the results of an analysis of a corpus of 331 TFRs, with particular attention to discourse segmentation and focusing. We then describe how the Trouble and Failure Report was automated in a prototype data collection and information retrieval application, using the PUNDIT natural-language processing system.