Paper: Mining Name Translations from Entity Graph Mapping

ACL ID D10-1042
Title Mining Name Translations from Entity Graph Mapping
Venue Conference on Empirical Methods in Natural Language Processing
Session Main Conference
Year 2010
Authors

This paper studies the problem of mining en- tity translation, specifically, mining English and Chinese name pairs. Existing efforts can be categorized into (a) a transliteration- based approach leveraging phonetic similar- ity and (b) a corpus-based approach exploiting bilingual co-occurrences, each of which suf- fers from inaccuracy and scarcity respectively. In clear contrast, we use unleveraged re- sources of monolingual entity co-occurrences, crawled from entity search engines, repre- sented as two entity-relationship graphs ex- tracted from two language corpora respec- tively. Our problem is then abstracted as find- ing correct mappings across two graphs. To achieve this goal, we propose a holistic ap- proach, of exploiting both transliteration sim- ilarity and monolingual co-occurre...