tailieunhanh - Báo cáo khoa học: "Interactive Multi-Document Summarization"

We describe iNeATS – an interactive multi-document summarization system that integrates a state-of-the-art summarization engine with an advanced user interface. Three main goals of the system are: (1) provide a user with control over the summarization process, (2) support exploration of the document set with the summary as the staring point, and (3) combine text summaries with alternative presentations such as a map-based visualization of documents. | iNeATS Interactive Multi-Document Summarization Anton Leuski Chin-Yew Lin Eduard Hovy University of Southern California Information Sciences Institute 4676 Admiralty Way Suite 1001 Marina Del Rey CA 90292-6695 leuski cyl hovy @ Abstract We describe iNeATS - an interactive multi-document summarization system that integrates a state-of-the-art summarization engine with an advanced user interface. Three main goals of the system are 1 provide a user with control over the summarization process 2 support exploration of the document set with the summary as the staring point and 3 combine text summaries with alternative presentations such as a map-based visualization of documents. 1 Introduction The goal of a good document summary is to provide a user with a presentation of the substance of a body of material in a coherent and concise form. Ideally a summary would contain only the right amount of the interesting information and it would omit all the redundant and uninteresting material. The quality of the summary depends strongly on users present need - a summary that focuses on one of several topics contained in the material may prove to be either very useful or completely useless depending on what users interests are. An automatic multi-document summarization system generally works by extracting relevant sentences from the documents and arranging them in a coherent order McKeown et al. 2001 Over 2001 . The system has to make decisions on the summary s size redundancy and focus. Any of these decisions may have a significant impact on the quality of the output. We believe a system that directly involves the user in the summary generation process and adapts to her input will produce better summaries. Additionally it has been shown that users are more satisfied with systems that visualize their decisions and give the user a sense of control over the process Koenemann and Belkin 1996 . We see three ways in which interactivity and visualization can be incorporated into

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