Code for NAACL 2018 paper "Multi-task Learning of Pairwise Sequence Classification Tasks Over Disparate Label Spaces" by Isabelle Augenstein, Sebastian Ruder, Anders Søgaard
Note that this is research code and will not be maintained to e.g. ensure compatibility with more recent library versions.
Requirements:
- Tensorflow 1.5
- Numpy 1.12.1
- sklearn 0.18.1
- scipy
Steps to run:
- run data/download_data.sh to download and extract data
- preproc/data_reader.py tests if all the data readers work
- preproc/fnc_data_splits.py to split the FNC training dataset into a training and dev set
- main.py trains models
- Task website
- Task description paper
- Note: Same dataset was used as rerun in 2017