Path-Based Attention Neural Model for Fine-Grained Entity Typing
This repository contains the source code for the experiments presented in the following research paper (PDF):
Path-Based Attention Neural Model for Fine-Grained Entity Typing Denghui Zhang, Manling Li, Pengshan Cai, Yantao Jia, Yuanzhuo Wang, Xueqi Cheng The Thirty-Second AAAI Conference on Artificial Intelligence (AAAI 2018) (poster, accepted)
Pytorch 0.2.0
To download and preprocess the corpora, run the following command:
$ ./preprocess.sh
To run the experiements, run command like following:
$ python train_PAN.py gillick attentive --feature --hier --bags -batch_size 1000 -bag_size 20
Please cite our paper if you find our research useful or relevant.
@article{zhang2017path,
title={Path-based attention neural model for fine-grained entity typing},
author={Zhang, Denghui and Cai, Pengshan and Jia, Yantao and Li, Manling and Wang, Yuanzhuo and Cheng, Xueqi},
journal={arXiv preprint arXiv:1710.10585},
year={2017}
}