Paper: Bootstrapping Entity Translation on Weakly Comparable Corpora

ACL ID P13-1062
Title Bootstrapping Entity Translation on Weakly Comparable Corpora
Venue Annual Meeting of the Association of Computational Linguistics
Session Main Conference
Year 2013
Authors

This paper studies the problem of mining named entity translations from compara- ble corpora with some ?asymmetry?. Un- like the previous approaches relying on the ?symmetry? found in parallel corpora, the proposed method is tolerant to asymme- try often found in comparable corpora, by distinguishing different semantics of rela- tions of entity pairs to selectively prop- agate seed entity translations on weakly comparable corpora. Our experimental results on English-Chinese corpora show that our selective propagation approach outperforms the previous approaches in named entity translation in terms of the mean reciprocal rank by up to 0.16 for or- ganization names, and 0.14 in a low com- parability case.