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UW Event Factuality Dataset

Introduction

This dataset contains annotations of text from the TempEval-3 corpus. The annotation is described in:

Event Detection and Factuality Assessment with Non-Expert Supervision

Kenton Lee, Yoav Artzi, Yejin Choi, and Luke Zettlemoyer

In Proceedings of the Conference on Empirical Methods in Natural Language Processing (EMNLP), 2015

The dataset is in the BRAT standoff format (http://brat.nlplab.org/standoff.html). It is split into train, development, and test sets. A visualization of the data can be found at http://appositive.cs.washington.edu/brat/index.xhtml#/fact

If you are looking for the code to replicate the experiment, see https://bitbucket.org/kentonl/factuality-experiments.

For questions and inquiries, please contact Kenton Lee.