Papers with multi-relational problem

1 papers
Multi-Relational Script Learning for Discourse Relations (P19-1)

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Challenge: Existing script knowledge models only represent a single event relationship, co-occurrence . this is coarse for commonsense, which should account for fine-grained relationships .
Approach: They propose to view learning event embedding as a multi-relational problem . they model a rich set of event relations derived from the Penn Discourse Tree Bank .
Outcome: The proposed model captures different aspects of event pairs, including cause and contrast.

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