Paper: Subword and Spatiotemporal Models for Identifying Actionable Information in {Haitian {K}reyol}

ACL ID W11-0309
Title Subword and Spatiotemporal Models for Identifying Actionable Information in {Haitian {K}reyol}
Venue International Conference on Computational Natural Language Learning
Session Main Conference
Year 2011
Authors

Crisis-affected populations are often able to maintain digital communications but in a sudden-onset crisis any aid organizations will have the least free resources to process such communications. Information that aid agen- cies can actually act on, ‘actionable’ informa- tion, will be sparse so there is great poten- tial to (semi)automatically identify actionable communications. However, there are hurdles as the languages spoken will often be under- resourced, have orthographic variation, and the precise definition of ‘actionable’ will be response-specific and evolving. We present a novel system that addresses this, drawing on 40,000 emergency text messages sent in Haiti following the January 12, 2010 earth- quake, predominantly in Haitian Kreyol. We show that keyword/ngram-based mo...