Attention, intentions, and the structure of discourse
Computational Linguistics
Participating in explanatory dialogues: interpreting and responding to questions in context
Participating in explanatory dialogues: interpreting and responding to questions in context
The Theory and Practice of Discourse Parsing and Summarization
The Theory and Practice of Discourse Parsing and Summarization
Experiments in discourse analysis impact on information classification and retrieval algorithms
Information Processing and Management: an International Journal
Adaptive multilingual sentence boundary disambiguation
Computational Linguistics
Sentence level discourse parsing using syntactic and lexical information
NAACL '03 Proceedings of the 2003 Conference of the North American Chapter of the Association for Computational Linguistics on Human Language Technology - Volume 1
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The ADROIT system that we are developing allows automatic discourse analysis of information rich natural language texts extracted directly from the web. We use guidelines and relations of Rhetorical Structure Theory (RST) to decompose texts into elementary segments and to perform the discourse parsing between them. In this paper, we present version 1.0 of ADROIT and focus on the noble technique of cue-phrase disambiguation and machine learning for identification and organization of discourse relations.