#Sentpair
The implementation of our paper Modeling Sentence Pairs with Tree-structured Attentive Encoder(pdf) to appear at the COLING2016. It runs both training and evaluation. Note that we just test the projects on Mac OS X and Ubuntu 14.
##Preparing
You can download the preprocessed data (recommend) from here. Alternatively you can process them by yourself. The original links are:
##Requirement The software can run on CPU or GPU, dependency requirements are following:
- torch7
- python
The package should be installed are the following. For example, you can install the nn
package by luarocks install nn
.
luarocks install nn
luarocks install nngraph
luarocks install penlight
luarocks install optim
luarocks install xlua
luarocks install sys
luarocks install cutorch
luarocks install cunn
##Running
To run our models, you can tap the command
th main.lua -<opt_name> opt_value -<opt_name> opt_val ...
For example, to run the model on the SICK dataset, you should tap
th main.lua -task MSRP -structure atreelstm -lr 0.05 -n_epoches 10
more details in the file main.lua
.
##Results
We achieve the results as
##Bib
@inproceedings{zhou2016sentpair,
title={Modelling Sentence Pairs with Tree-structured Attentive Encoder},
author={Yao Zhou, Cong Liu and Yan Pan},
booktitle={The International Conference on Computational Linguistics (COLING)},
year={2016}
}
##License MIT