Discourse strategies for generating natural-language text
Artificial Intelligence
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
Identifying comparative sentences in text documents
SIGIR '06 Proceedings of the 29th annual international ACM SIGIR conference on Research and development in information retrieval
The Stanford typed dependencies representation
CrossParser '08 Coling 2008: Proceedings of the workshop on Cross-Framework and Cross-Domain Parser Evaluation
Summarizing blog entries versus news texts
eETTs '09 Proceedings of the Workshop on Events in Emerging Text Types
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With the goal of developing an efficient query-based opinion summarization approach, we have targeted to resolve Question Irrelevancy and Discourse Incoherency problems which have been found to be the most frequently occurring problems for opinion summarization To address these problems, we have utilized rhetorical relations of texts with the help of text schema and Rhetorical Structure Theory (RST).