WIRE: An Automated Report Generation System using Topical and Temporal Summarization

التفاصيل البيبلوغرافية
العنوان: WIRE: An Automated Report Generation System using Topical and Temporal Summarization
المؤلفون: Yunseok Noh, Su Jeong Choi, A-Yeong Kim, Seong-Bae Park, Se-Young Park, Junmo Park, Hyun-Je Song, Yongmin Shin
المصدر: SIGIR
بيانات النشر: ACM, 2020.
سنة النشر: 2020
مصطلحات موضوعية: Topic model, Event (computing), Computer science, Timeline, 02 engineering and technology, Automatic summarization, Modern life, World Wide Web, 020204 information systems, 0202 electrical engineering, electronic engineering, information engineering, 020201 artificial intelligence & image processing, Report generation, Image retrieval, Text retrieval
الوصف: The demand for a tool for summarizing emerging topics is increasing in modern life since the tool can deliver well-organized information to its users. Even though there are already a number of successful search systems, the system which automatically summarizes and organizes the content of emerging topics is still in its infancy. To fulfill such demand, we introduce an automated report generation system that generates a well-summarized human-readable report for emerging topics. In this report generation system, emerging topics are automatically discovered by a topic model and news articles are indexed by the discovered topics. Then, a topical summary and a timeline summary for each topic is generated by a topical multi-document summarizer and a timeline summarizer respectively. In order to enhance the apprehensibility of the users, the proposed report system provides two report modes. One is Today's Briefing which summarizes five discovered topics of every day, and the other is Full Report which shows a long-term view of each topic with a detailed topical summary and an important event timeline.
الوصول الحر: https://explore.openaire.eu/search/publication?articleId=doi_________::8236cda6cef846af8c8e669aaa22d493Test
https://doi.org/10.1145/3397271.3401409Test
رقم الانضمام: edsair.doi...........8236cda6cef846af8c8e669aaa22d493
قاعدة البيانات: OpenAIRE