Paper: Event Discovery in Social Media Feeds

ACL ID P11-1040
Title Event Discovery in Social Media Feeds
Venue Annual Meeting of the Association of Computational Linguistics
Session Main Conference
Year 2011
Authors

We present a novel method for record extrac- tion from social streams such as Twitter. Un- like typical extraction setups, these environ- ments are characterized by short, one sentence messages with heavily colloquial speech. To further complicate matters, individual mes- sages may not express the full relation to be uncovered, as is often assumed in extraction tasks. We develop a graphical model that ad- dresses these problems by learning a latent set of records and a record-message alignment si- multaneously; the output of our model is a set of canonical records, the values of which are consistent with aligned messages. We demonstrate that our approach is able to accu- rately induce event records from Twitter mes- sages, evaluated against events from a local city guide. Our method achiev...