QBAF
An argument evaluation framework originating from computational argumentation theory, in which arguments are linked by support and attack edges and positive and negative influences are aggregated through iterative semantics, yielding quantifiable and interpretable argument strengths.
Timeline (last 90 days)
In the verification stage, ARBITRA adopts a quantitative bipolar argumentation framework (QBAF) to quantitatively weigh supporting and opposing evidence for each candidate entity based on document evidence and reasoning grounds.
The basic structure of QBAF is as follows: each argument is assigned an initial base score, arguments are connected by support edges and attack edges, and iterative semantic rules aggregate the positive and negative influences from other arguments to ultimately obtain the strength of each argument.
All Facts (2)
In the verification stage, ARBITRA adopts a quantitative bipolar argumentation framework (QBAF) to quantitatively weigh supporting and opposing evidence for each candidate entity based on document evidence and reasoning grounds.
50%UnverifiedThe basic structure of QBAF is as follows: each argument is assigned an initial base score, arguments are connected by support edges and attack edges, and iterative semantic rules aggregate the positive and negative influences from other arguments to ultimately obtain the strength of each argument.
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