We present a method to automatically generate a concise summary by identifying and synthesizing similar elements across related text from a set of multiple documents. Our approach is unique in its usage of language generation to reformulate the wording of the summary.
REF developed a method to generate automatic summaries by identifying and synthesizing similar elements in a cluster of documents.
Information Fusion In The Context Of Multi-Document Summarization
Annual Meeting Of The Association For Computational Linguistics
Computer Science