TweeTime : A Minimally Supervised Method for Recognizing and Normalizing Time Expressions in Twitter
Jeniya Tabassum, Alan Ritter, Wei Hong Xu · 2016
We describe TweeTIME, a temporal tagger for recognizing and normalizing time expressions in Twitter.Most previous work in social media analysis has to rely on temporal resolvers that are designed for well-edited text, and therefore suffer from reduced performance due to domain mismatch.We present a minimally supervised method that learns from large quantities of unlabeled data and requires no hand-engineered rules or hand-annotated training corpora.TweeTIME achieves 0.68 F1 score on the end-to-end task of resolving date expressions, outperforming a broad range of state-of-the-art systems. 1