Gold Panning: Automatic Extraction of Scientific Information from Publications
2021 IEEE 17th International Conference on eScience (eScience)(2021)
Abstract
The millions of scientific papers published every year have made it well beyond any human’s ability to read and curate. As a result, valuable data and potentially ground-breaking insights remain buried deep in the mountain of publications. Unfortunately, while modern Information Extraction techniques show great promise, they are rarely developed for scientific text and often perform poorly in scie...
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Key words
information extraction,relation extraction,dependency parsing,attention
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