  Millions of news articles from hundreds of thousands of sources around the
globe appear in news aggregators every day. Consuming such a volume of news
presents an almost insurmountable challenge. For example, a reader searching on
Bloomberg's system for news about the U.K. would find 10,000 articles on a
typical 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 that
would condense large volumes of news into short, easy to absorb points. The
system would filter out noise and duplicates to identify and summarize key news
about 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 novel
summarization methods to produce comprehensive, yet concise, digests to
dramatically simplify the news consumption process.
  NSTM is available to hundreds of thousands of readers around the world and
serves thousands of requests daily with sub-second latency. At ACL 2020, we
will present a demo of NSTM.
