@inproceedings{52b7d66528704daa811bb49c6d8b2453,
title = "WIRE: An Automated Report Generation System using Topical and Temporal Summarization",
abstract = "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.",
keywords = "deep neural networks, image retrieval, report generation, text retrieval, text summarization, timeline summarization, topic discovery",
author = "Yunseok Noh and Yongmin Shin and Junmo Park and Kim, \{A. Yeong\} and Choi, \{Su Jeong\} and Song, \{Hyun Je\} and Park, \{Seong Bae\} and Seyoung Park",
note = "Publisher Copyright: {\textcopyright} 2020 ACM.; 43rd Annual International ACM SIGIR Conference on Research and Development in Information Retrieval, SIGIR 2020 ; Conference date: 25-07-2020 Through 30-07-2020",
year = "2020",
month = jul,
day = "25",
doi = "10.1145/3397271.3401409",
language = "English",
series = "SIGIR 2020 - Proceedings of the 43rd International ACM SIGIR Conference on Research and Development in Information Retrieval",
publisher = "Association for Computing Machinery, Inc",
pages = "2169--2172",
booktitle = "SIGIR 2020 - Proceedings of the 43rd International ACM SIGIR Conference on Research and Development in Information Retrieval",
}