Papers with alignment and null alignment

1 papers
Unbalanced Optimal Transport for Unbalanced Word Alignment (2023.acl-long)

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Challenge: Figure 1 illustrates the challenges of monolingual word alignment.
Approach: They propose to use the family of optimal transport (OT) to achieve unbalanced word alignment that values alignment and null alignment on unsupervised datasets.
Outcome: The proposed methods are competitive against the state-of-the-art methods on challenging datasets with high null alignment frequencies.

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