Even after the pandemic eventually becomes a bad memory, the changes and innovations that resulted from it may permanently alter the way that Americans get their food. One of the biggest challenges has been that the pandemic forced a sudden, drastic change in where and what Americans eat. In normal times, for every dollar that Americans spend on food, 54 cents of every dollar goes to eating in restaurants or buying takeout meals, according to Doug Baker. He's vice president of industry relations for FMI, the Food Industry Association, which represents producers and retailers. But starting in mid-March, as states began imposing lockdown and stay-at-home orders, that all abruptly changed. With schools and businesses closing down in rapid succession, Americans of all ages soon were eating all of their meals at home, and needing more and more groceries. The sudden change created massive problems for farmers and food producers, who were used to growing and packaging a lot of their output in industrial-size quantities for restaurants and school cafeteria kitchens.|This work describes an automatic news chatbot that draws content from a diverse set of news articles and creates conversations with a user about the news. Key components of the system include the automatic organization of news articles into topical chatrooms, integration of automatically generated questions into the conversation, and a novel method for choosing which questions to present which avoids repetitive suggestions. We describe the algorithmic framework and present the results of a usability study that shows that news readers using the system successfully engage in multi-turn conversations about specific news stories. Chatbots offer the ability for interactive information access, which could be of great value in the news domain. As a user reads through news content, interaction could enable them to ask clarifying questions and go in depth on selected subjects. Current news chatbots have minimal capabilities, with content hand-crafted by members of news organizations, and cannot accept free-form questions. To address this need, we design a new approach to interacting with large news collections.
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Special Report, World News, Americas
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