Distantly supervised Web relation extraction for knowledge base population
作者： Isabelle Augenstein , Diana Maynard , Fabio Ciravegna
DOI: 10.3233/SW-150180
关键词:
摘要: Extracting information from Web pages for populating large, cross-domain knowledge bases requires methods which are suitable across domains, do not require manual effort to adapt to new domains, are able to deal with noise, and integrate information extracted from different Web pages. Recent approaches have used existing knowledge bases to learn to extract information with promising results, one of those approaches being distant supervision. Distant supervision is an unsupervised method which uses background …
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