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The authors compute the value of each relation for 6 million users and compare them.
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A traditional RE system searches for specific patterns for each relation.
An Open IE system tries to find evidence of existing relations as well as the entities taking part in those relations; A traditional RE system searches for specific patterns for each relation.
To achieve this goal, we further analyzed the errors for each relation.
Then, for each relation r type, using Eq. (6), it computes the belief masses combination.
For each user, the algorithm starts by counting the number of occurrences for each relation or interaction pattern.
As multiple relations can exist between a node u and its neighbors, we combine the associated mass functions (m_r) for each relation (r in R).
Hence, for each relation type (r in R), in addition to the influence degree (d_r), a mass function (m_r) is associated.
Under this assumption, a characterization of the non-trivial facets of the convex hull of Xρ(Z) for each relation ρ is provided, along with polynomial time separation algorithms.
In fact, to ensure the conformity constraints, we will need the names of primary key, foreign key, and non-key attribute for each relation and the types of each attribute.
Respondents were also asked to assess the quality and contact frequency for each relation mentioned and to name those persons with whom the interviewee cooperated especially closely or had established high levels of trust.
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Since I tried Ludwig back in 2017, I have been constantly using it in both editing and translation. Ever since, I suggest it to my translators at ProSciEditing.

Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com