Papers with distance model

1 papers
Multi Modal Distance - An Approach to Stemma Generation With Weighting (L18-1)

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Challenge: Stemma generation is a task where manuscripts are copied and copied from each other and from M. Existing methods to generate stemma using unweighted token similarity weighting have been used.
Approach: They propose to use a distance model to weight the texts of M1 and M2 to estimate the most likely tree from a series of mapping processes.
Outcome: The proposed method is small in the experimental scenario(s) it is based on psycholinguistically gained distance matrices of letters in three modalities: vision, audition and motorics.

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