A Multiple-Document Summarization System Introducing User Interaction for Reflecting User's Summarization Need

نویسندگان

  • Hiroyuki Sakai
  • Shigeru Masuyama
چکیده

We propose a multiple-document summarization system with user interaction that summarizes more than one document to a document. Our system extracts keywords from sets of documents to be summarized and shows k best keywords with respect to scoring by our system to a user on the screen. From the shown keywords, the user selects those reflecting the user's summarization need. Our system controls the produced summary by using these selected keywords. For evaluation of our method, we participated in TSC3 of NTCIR4 workshop by letting our system select all k keywords supposed to display for the user. Our participated system exhibited the best performance in content evaluation among systems not using sets of questions. Moreover, we evaluated effectiveness of user interaction in our system. With user interaction, our system attained both higher coverage and precision than that without user interaction. Keywords: multiple-document summarization, user interaction, keywords selection by a user, unimportant adnominal verb phrases deletion.

برای دانلود متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید

ثبت نام

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

منابع مشابه

A survey on Automatic Text Summarization

Text summarization endeavors to produce a summary version of a text, while maintaining the original ideas. The textual content on the web, in particular, is growing at an exponential rate. The ability to decipher through such massive amount of data, in order to extract the useful information, is a major undertaking and requires an automatic mechanism to aid with the extant repository of informa...

متن کامل

Systematic literature review of fuzzy logic based text summarization

Information Overloadrq  is not a new term but with the massive development in technology which enables anytime, anywhere, easy and unlimited access; participation & publishing of information has consequently escalated its impact. Assisting userslq    informational searches with reduced reading surfing time by extracting and evaluating accurate, authentic & relevant information are the primary c...

متن کامل

مرور مؤثر نتایج جستجوی تصاویر با تلخیص بصری و متنوع از طریق خوشه‌بندی

With unprecedented growth in production of digital images and use of multimedia references, requirement of image and subject search has been increased. Systematic processing of this information is a basic prerequisite for effective analysis, organization and management of it. Likewise, large collections of images have been made available on the Web and many search engines have provided the poss...

متن کامل

A Multiple-Document Summarization System with User Interaction

We propose a multiple-document summa-rization system with user interaction. Our system extracts keywords from sets of documents to be summarized and shows the keywords to a user on the screen. Among them, the user selects some keywords reflecting his/her needs. Our system controls the produced summary by using these selected keywords. For evaluation of our method, we participated in TSC3 of NTC...

متن کامل

iDVS: An Interactive Multi-document Visual Summarization System

Multi-document summarization is a fundamental tool for understanding documents. Given a collection of documents, most of existing multidocument summarization methods automatically generate a static summary for all the users using unsupervised learning techniques such as sentence ranking and clustering. However, these methods almost exclude human from the summarization process. They do not allow...

متن کامل

ذخیره در منابع من


  با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید

برای دانلود متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید

ثبت نام

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

عنوان ژورنال:

دوره   شماره 

صفحات  -

تاریخ انتشار 2004