Learning with the Web: Spotting named entities on the intersection of NERD and machine learning
作者： R. Troncy , G. Rizzo , M.G.J. van Erp
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摘要: Microposts shared on social platforms instantaneously report facts, opinions or emotions. In these posts, entities are often used but they continuously changing depending what is currently trend- ing. such a scenario, recognising named challenging task, for which o-the-shelf approaches not well equipped. We pro- pose NERD-ML, an approach that unifies the benefits of crowd entity recognizer through Web extractors combined with linguistic strengths machine learning classifier.
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