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Sub-event detection from twitter streams as a sequence labeling problem

Implementation of our paper Sub-event detection from twitter streams as a sequence labeling problem.

Requirements

  • Ubuntu 16.04
  • Anaconda 5.2.0
  • Numpy 1.16.1
  • Gensim 3.6.0
  • Pytorch 0.4.1
  • PrettyTable 0.7.2

Task

The goal is, given a main event (i.e., soccer match), to identify its core sub-events (e.g., goals, kick-off, yellow cards) from Twitter streams.

Configuration

The model has several parameters that could be specified in the configuration files (see config).

Run the model

There are two directories (one for the word-level model and one the tweet-level model)

./run_<name_of_the_model>.sh

Notes

Please cite our work when using this software.

Giannis Bekoulis, Johannes Deleu, Thomas Demeester, Chris Develder. Sub-event detection from twitter streams as a sequence labeling problem, In the Proceedings of the 2019 Annual Conference of the North American Chapter of the Association for Computational Linguistics, 2019