@conference {WiBe07b,
	title = {Next-Generation Summarization: Contrastive, Focused, and Update Summaries},
	booktitle = {International Conference on Recent Advances in Natural Language Processing (RANLP 2007)},
	year = {2007},
	month = {September 27{\textendash}29},
	address = {Borovets, Bulgaria},
	abstract = {Classical multi-document summaries focus on the common topics of a document set and omit distinctive themes particular to a single document{\textemdash}thereby often suppressing precisely that kind of information a user might need for a specific task. This can be avoided through advanced multi-document summaries that take a user{\textquoteright}s context and history into account, by delivering focused, contrastive, or update summaries. To facilitate the generation of these different summaries, we propose to generate all types from a single data structure, topic clusters, which provide for an abstract representation of a set of documents. Evaluations carried out on five years{\textquoteright} worth of data from the DUC summarization competition prove the feasibility of this approach.},
	url = {http://rene-witte.net/next-generation-summarization},
	attachments = {https://www.semanticsoftware.info/system/files/157_witte.pdf},
	author = {Ren{\'e} Witte and Sabine Bergler}
}
