Open Information Extraction

@article{Vo2017OpenIE,
  title={Open Information Extraction},
  author={Duc-Thuan Vo and E. Bagheri},
  journal={ArXiv},
  year={2017},
  volume={abs/1607.02784}
}
Open Information Extraction (Open IE) systems aim to obtain relation tuples with highly scalable extraction in portable across domain by identifying a variety of relation phrases and their arguments in arbitrary sentences. The first generation of Open IE learns linear chain models based on unlexicalized features such as Part-of-Speech (POS) or shallow tags to label the intermediate words between pair of potential arguments for identifying extractable relations. Open IE currently is developed in… Expand
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References

SHOWING 1-10 OF 44 REFERENCES
Open Information Extraction Using Wikipedia
  • 616
  • PDF
ClausIE: clause-based open information extraction
  • 396
  • PDF
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2
3
4
5
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