HDU-JimLau / Att-BLSTM-relation-extraction

Implementation of Attention-Based Bidirectional Long Short-Term Memory Networks for Relation Classification.

Att-BLSTM-relation-extraction

Implementation of Attention-Based Bidirectional Long Short-Term Memory Networks for Relation Classification.

Environment Requirements

• python 3.6
• pytorch 1.3.0

Data

• SemEval2010 Task8 [paper]
• glove.6B.100d.txt

Usage

1. Download the embedding and decompress it into the embedding folder.
2. Run the following the commands to start the program.

python run.py

More details can be seen by python run.py -h.

3. 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

Result

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.

Reference Link