DAML

This is the original implementation of the paper Improving Domain-Adapted Sentiment Classification by Deep Adversarial Mutual Learning publicized in AAAI-2020.

Requirement

Python packages

• Tensorflow 1.14
• colored
• tqdm

Other

• figlet (install from your system package manager, e.g. apt in Ubuntu or brew in MacOS)

Guide

How to run

To run the naive baseline, just run

python train_naive.py --dataset SOURCE_DOMAIN --unlabeled_dataset TARGET_DOMAIN

To run any other model, just run

python adv_train.py --model MODEL --dataset SOURCE_DOMAIN --unlabeled_dataset TARGET_DOMAIN

Available models

The following model names are available, just as filenames show:

dann	adversarial cross-domain training framerwork without Mutual Learning
sml	standard Mutual Learning framework
ml	the proposed Mutual Learning framework
ml3	the proposed Mutual Learning framework with 3 models involved
ml4	the proposed Mutual Learning framework with 4 models involved

Available datasets

The following dataset names are available, just as shown in directory data/:

• imdb
• yelp13
• elc (Amazon Electronics)
• clt (Amazon Clothing)
• cd (Amazon CD)