A language-independent anaphora resolution system for understanding multilingual texts
Published 1 January 1993Open access
Chinatsu Aone, Douglas McKee
Citations23
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TL;DR
A new discourse module within the multilingual NLP system that is language-independent, robust and trainable using discourse-tagged corpora, and separating discourse phenomena from knowledge sources makes the discourse module easily extensible to additional phenomena.
Abstract
This paper describes a new discourse module within our multilingual NLP system. Because of its unique data-driven architecture, the discourse module is language-independent. Moreover, the use of hierarchically organized multiple knowledge sources makes the module robust and trainable using discourse-tagged corpora. Separating discourse phenomena from knowledge sources makes the discourse module easily extensible to additional phenomena.
Keywords
Computer Science
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