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News Monitor: A Framework for Querying News in Real Time

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Advances in Information Retrieval (ECIR 2021)

Part of the book series: Lecture Notes in Computer Science ((LNISA,volume 12657))

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Abstract

News articles generated by online media are a major source of information. In this work, we present News Monitor, a framework that automatically collects news articles from a variety of web pages and performs various analysis tasks. The framework initially identifies fresh news and clusters articles about the same incidents. For every story, it extracts a Knowledge Base (KB) using open information extraction techniques and utilizes this KB in order to build a summary for the user. News Monitor allows the users to query the article in natural language using the state-of-the-art framework BERT. Nevertheless, it allows the user to perform queries also in the KB in order to identify relevant articles. Finally, News Monitor crawls Twitter using a dynamic set of keywords in order to retrieve relevant messages. The framework is distributed, online and performs analysis in real-time.

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Notes

  1. 1.

    System demonstration available in: http://195.134.67.89/news_monitor/.

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Acknowledgments

The present work was co-funded by the European Union and Greek national funds through the Operational Program “Human Resources Development, Education and Lifelong Learning” (NSRF 2014-2020), under the call “Supporting Researchers with an Emphasis on Young Researchers - Cycle B” (MIS:5048149).

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Correspondence to Antonia Saravanou .

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Saravanou, A., Panagiotou, N., Gunopulos, D. (2021). News Monitor: A Framework for Querying News in Real Time. In: Hiemstra, D., Moens, MF., Mothe, J., Perego, R., Potthast, M., Sebastiani, F. (eds) Advances in Information Retrieval. ECIR 2021. Lecture Notes in Computer Science(), vol 12657. Springer, Cham. https://doi.org/10.1007/978-3-030-72240-1_62

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  • DOI: https://doi.org/10.1007/978-3-030-72240-1_62

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