Attention, intentions, and the structure of discourse
Computational Linguistics
A language-independent anaphora resolution system for understanding multilingual texts
ACL '93 Proceedings of the 31st annual meeting on Association for Computational Linguistics
Evaluating discourse processing algorithms
ACL '89 Proceedings of the 27th annual meeting on Association for Computational Linguistics
Automatic processing of large corpora for the resolution of anaphora references
COLING '90 Proceedings of the 13th conference on Computational linguistics - Volume 3
The Murasaki project: multilingual natural language understanding
HLT '93 Proceedings of the workshop on Human Language Technology
Evaluating automated and manual acquisition of anaphora resolution strategies
ACL '95 Proceedings of the 33rd annual meeting on Association for Computational Linguistics
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In this paper, we first describe how we have customized our data-driven multilingual discourse module within our text understanding system for different languages and for a particular NLP application by utilizing hierarchically organized discourse KB's. Then, we report quantitative and qualitative findings from evaluating the system both with and without discourse processing, and discuss how resolving certain kinds of anaphora affects system performance.