HighLife: Higher-arity Fact Harvesting

    WWW '18: The Web Conference 2018 Lyon France April, 2018, pp. 1013-1022, 2018.

    Cited by: 9|Bibtex|Views52|Links
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    Abstract:

    Text-based knowledge extraction methods for populating knowledge bases have focused on binary facts: relationships between two entities. However, in advanced domains such as health, it is often crucial to consider ternary and higher-arity relations. An example is to capture which drug is used for which disease at which dosage (e.g. 2.5 mg...More

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