Knowledge graphs
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Automatically generating text from structured data
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Data-to-text generation converts information from a structured format such as a table into natural language. This allows structured information to be read ...

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TheWebConf: Where communities converge on questions of scale
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Xin Luna Dong, a senior principal scientist at Amazon, leads research on Amazon’s product graph, a huge graphical representation of the products in the ...

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Using hyperboloids to embed knowledge graphs
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Knowledge graphs are an extremely efficient way to represent information, but the standard techniques for analyzing them, which involve tracing connections ...

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New method improves knowledge-graph-based question answering
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Question answering is a popular task in natural-language processing, where models are given questions such as “What city is the Mona Lisa in?” and trained ...

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Jens Lehmann receives Semantic Web journal 10-year award for influential paper
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Amazon principal applied scientist Jens Lehmann and three coauthors recently received the Semantic Web journal 10-year award for their paper “LinkedGeoData: ...

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Building commonsense knowledge graphs to aid product recommendation
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At the Amazon Store, we strive to deliver the product recommendations most relevant to customers’ queries. Often, that can require commonsense reasoning. If ...

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