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About NSTM: Real-Time Query-Driven News Overview Composition at Bloomberg
This document describes NSTM, a real-time news summarization system developed by Bloomberg. NSTM uses semantic clustering and novel summarization techniques to take a user's news search query and produce a concise yet comprehensive overview of the key themes in the results. It filters out noise and duplicates to identify and summarize the main topics. When given a query, NSTM returns an ordered list of theme summaries, each containing a cluster of related stories on that theme along with a brief summary and selection of key stories. The system aims to help users quickly understand vast amounts of news results without reading every individual article. It is deployed globally and handles thousands of requests daily with sub-second latency.
Detailed Information
| Author: | ['helloworld1215'] |
|---|---|
| Publication Year: | 2020 |
| Pages: | 12 |
| Language: | English |
| Format: | |
| Price: | FREE |
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