Paper: Semi-Markov Phrase-Based Monolingual Alignment

ACL ID D13-1056
Title Semi-Markov Phrase-Based Monolingual Alignment
Venue Conference on Empirical Methods in Natural Language Processing
Session Main Conference
Year 2013

We introduce a novel discriminative model for phrase-based monolingual alignment using a semi-Markov CRF. Our model achieves state- of-the-art alignment accuracy on two phrase- based alignment datasets (RTE and para- phrase), while doing significantly better than other strong baselines in both non-identical alignment and phrase-only alignment. Addi- tional experiments highlight the potential ben- efit of our alignment model to RTE, para- phrase identification and question answering, where even a naive application of our model?s alignment score approaches the state of the art.