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 question type. In our approach, a sentence instantiates a specific slot of the schema based on its discourse structures. To validate our approach, we have built a system named BlogSum and have evaluated its performance through 4 human participants using a likert scale of 1 to 5. The evaluation results show that our approach has significantly improved summary coherence compared to the summaries with no discourse structuring without compromising on content evaluation.
REF use discourse structures to improve coherence in blog summarization.
Discourse Structures to Reduce Discourse Incoherence in Blog Summarization
RANLP
Computer Science