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arXiv · 1608.02904

TweeTime: A Minimally Supervised Method for Recognizing and Normalizing Time Expressions in Twitter

Jeniya Tabassum·Alan Ritter·Wei Xu
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Abstract

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 the 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.

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Jeniya Tabassum, Alan Ritter, Wei Xu. 2016-08-09. TweeTime: A Minimally Supervised Method for Recognizing and Normalizing Time Expressions in Twitter. https://arxiv.org/abs/1608.02904

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