Paper: Joint Word Alignment and Bilingual Named Entity Recognition Using Dual Decomposition

ACL ID P13-1106
Title Joint Word Alignment and Bilingual Named Entity Recognition Using Dual Decomposition
Venue Annual Meeting of the Association of Computational Linguistics
Session Main Conference
Year 2013
Authors

Translated bi-texts contain complemen- tary language cues, and previous work on Named Entity Recognition (NER) has demonstrated improvements in perfor- mance over monolingual taggers by pro- moting agreement of tagging decisions be- tween the two languages. However, most previous approaches to bilingual tagging assume word alignments are given as fixed input, which can cause cascading errors. We observe that NER label information can be used to correct alignment mis- takes, and present a graphical model that performs bilingual NER tagging jointly with word alignment, by combining two monolingual tagging models with two uni- directional alignment models. We intro- duce additional cross-lingual edge factors that encourage agreements between tag- ging and alignment decisions. We design a dual...