LOTN

Codes and datasets for our AAAI 2022 paper: "Latent Opinions Transfer Network for Target-Oriented Opinion Words Extraction"

Overview

• In tackling the problem of insufficient annotated data, we are the first to propose transferring latent opinion knowledge from resource-rich review sentiment classification datasets to the low-resource task of TOWE.
• To transfer opinion information effectively, we propose a Latent Opinions Transfer Network (LOTN) model that obtains latent opinion words from a sentiment classification model and integrates them into TOWE via an auxiliary learning signal.

Dependencies

• python=3.5
• numpy=1.14.2
• tensorflow==1.9

Usage

Step1: pretrained

sh run_pre_trained.sh

step2: transfer

• Softmax

sh run_LOTN.sh
python eval_LOTN.py

• CRF

sh run_LOTN.sh
python eval_LOTN_crf.py

Citation

@inproceedings{DBLP:conf/aaai/WuZDHC20,
  author    = {Zhen Wu and Fei Zhao and Xin{-}Yu Dai and Shujian Huang and Jiajun Chen},
  title     = {Latent Opinions Transfer Network for Target-Oriented Opinion Words Extraction},
  booktitle = {The Thirty-Fourth {AAAI} Conference on Artificial Intelligence, {AAAI} 2020, New York, NY, USA, February 7-12, 2020},
  pages     = {9298--9305},
  year      = {2020}
}

if you have any questions, please contact me [email protected].