Paper: Text-Driven Toponym Resolution using Indirect Supervision

ACL ID P13-1144
Title Text-Driven Toponym Resolution using Indirect Supervision
Venue Annual Meeting of the Association of Computational Linguistics
Session Main Conference
Year 2013

Toponym resolvers identify the specific lo- cations referred to by ambiguous place- names in text. Most resolvers are based on heuristics using spatial relationships be- tween multiple toponyms in a document, or metadata such as population. This pa- per shows that text-driven disambiguation for toponyms is far more effective. We ex- ploit document-level geotags to indirectly generate training instances for text classi- fiers for toponym resolution, and show that textual cues can be straightforwardly in- tegrated with other commonly used ones. Results are given for both 19th century texts pertaining to the American Civil War and 20th century newswire articles.