Cross-Reading News
نویسندگان
چکیده
Journalists often need to perform multiple actions, using different tools, in order to create content for publication. This involves searching the web, curating the result list, choosing relevant entities for the article and writing. We aim to improve this pipeline through CrossReading News, a modular, and extendable web application aimed at helping journalists easily research and draft articles for publication. It combines information retrieval, natural language processing and deep learning in order to provide a smart and focused work-space by leveraging local collections of news articles maintained by media companies. Specifically, users can search for information in multiple local collections of news articles, gather named entities, extract keyqueries, find semantically related content and obtain title suggestions through summarization.
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