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Millions of news articles from hundreds of thousands of sources around theglobe appear in news aggregators every day. Consuming such a volume of newspresents an almost insurmountable challenge. For example, a reader searching onBloomberg's system for news about the U.K. would find 10,000 articles on atypical day. Apple Inc., the world's most journalistically covered company,garners around 1,800 news articles a day.  We realized that a new kind of summarization engine was needed, one thatwould condense large volumes of news into short, easy to absorb points. Thesystem would filter out noise and duplicates to identify and summarize key newsabout companies, countries or markets.  When given a user query, Bloomberg's solution, Key News Themes (or NSTM),leverages state-of-the-art semantic clustering techniques and novelsummarization methods to produce comprehensive, yet concise, digests todramatically simplify the news consumption process.  NSTM is available to hundreds of thousands of readers around the world andserves thousands of requests daily with sub-second latency. At ACL 2020, wewill present a demo of NSTM.

NSTM: Real-Time Query-Driven News Overview Composition at Bloomberg