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A Teacher-Student Approach to Cross-Domain Transfer Learning with Multi-level Attention (WI-IAT 2021)

This is the implementation of the paper A Teacher-Student Approach to Cross-Domain Transfer Learning with Multi-level Attention .

Model architecture

image

Model introduction and operation steps:

https://docs.google.com/presentation/d/1nE51EONlOcYwqN-rqkhXBqgWWdFWAQZOZbEq_pSxo7E/edit#slide=id.p

Proposal Defense:

https://docs.google.com/presentation/d/1XEMM0AV5clQdjW1wEFO3Sf1hK0PFwJ_GqcIKXqNO-2c/edit#slide=id.p

Training dataset and fine-tuned models

Amazon Chinese Dataset

Source models

Target model

Environment Setup

virtualenv -p python3 venv
source ./venv/bin/activate
pip3 install -r requirements.txt

Usage

Run bert baseline model

sh run_bert_base.sh

Run paper's model

sh run.sh

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