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. 2019 Sep 30;116(42):21318–21327. doi: 10.1073/pnas.1903402116

Fig. 2.

Fig. 2.

Examples of verb (Left) and noun (Middle) topic vectors that separately capture verb semantic constraints and DO noun semantics. The verb-weighted noun topic vector (Right) models the meaning of the DO noun in the context of a prior verb by emphasizing topics that are preferred by the preceding verb through element-by-element multiplication between verb and noun topic vectors.