Papers with neural semi-Markov CRF alignment model

1 papers
Neural semi-Markov CRF for Monolingual Word Alignment (2021.acl-long)

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Challenge: Experimental results show that our proposed model outperforms all previous approaches for monolingual word alignment.
Approach: They propose a neural semi-Markov CRF alignment model which unifies word and phrase alignments through variable-length spans.
Outcome: The proposed model outperforms existing models on in-domain and out-of-domain evaluations and a QA-based benchmark with human annotations.

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