Summarization of specialized discourse

Discourse Structures to Reduce Discourse Incoherence in Blog Summarization

Discourse incoherence is an important and typical problem with multi-document extractive summaries. To address this issue, we have developed a schema-based summarization approach for query-based blog summaries that utilizes discourse structures. In our schema design, we tried to model discourse structures which are typically used by humans in their summary writing in response to a particular qu...

Discourse Segmentation in Aid of Document Summarization

This paper describes work to enhance a sentencebased summarizer with notions of salience, dynamicallyadjustable summary size, discourse segmentation, and awareness of topic shifts. Our experiments study strategies to diversify the application of a baseline summarizer, by making it aware of finer-grained ‘aboutness’, capable of discerning changes of topic, and sensitive to longer-thanusual docum...

Mining Discourse Markers For Chinese Textual Summarization

Discourse markers foreshadow the message thrust of texts and saliently guide their rhetorical structure which are important for content filtering and text abstraction. This paper reports on efforts to automatically identify and classify discourse markers in Chinese texts using heuristic-based and corpus-based data-mining methods, as an integral part of automatic text summarization via rhetorica...

Discourse Factors in Multi-Document Summarization

The over-abundance of information today, especially online, has established the need for natural language technologies that can help the user find relevant information; multidocument summarization (MDS) and question answering (QA) are two examples. The requirement in MDS and openended QA to produce multi-sentential answers imposes the extra demand that the output of such systems be a coherent d...

Discourse-Based Summarization in DUC-2001