Implementation of Attention-Based Bidirectional Long Short-Term Memory Networks for Relation Classification.
- python 3.6
- pytorch 1.3.0
- Download the embedding and decompress it into the
embedding
folder. - Run the following the commands to start the program.
python run.py
More details can be seen by python run.py -h
.
- You can use the official scorer to check the final predicted result.
perl semeval2010_task8_scorer-v1.2.pl proposed_answer.txt predicted_result.txt >> result.txt
The result of my version and that in paper are present as follows:
paper | my version |
---|---|
0.840 | 0.8313 |
The training log can be seen in train.log
and the official evaluation results is available in result.txt
.
Note:
- Some settings may be different from those mentioned in the paper.
- No validation set used during training.