LLM-Kit

Dataset and source code for the anonymous submission .

Requirements

— python==3.8

— torch-geometric==2.0.1

— other pakages

To install requirements, please run pip install -r requirements.txt.

Environment

— OS: CentOS Linux release 7.7.1908

— CPU: 64 Intel(R) Xeon(R) Gold 5218 CPU @ 2.30GHz

— GPU: Four Tesla V100-SXM2 32GB

— CUDA: 10.1

Running

Prepare the Pre-trained model :

— 1. Get the RoBERTa pre-trained model from Website;

— 2. Put the pre-trained model to the coresponseding path (pretrained);

Process the dataset :

— python process_data.py

— we have preprocessed the data, you can skip this step！

Train the model :

— python train.py or CUDA_VISIBLE_DEVICES=0,1 python train.py

Complementary Experiment

Process the dataset :

— python process_data.py

— we have preprocessed the data, you can skip this step！

LLMs for ACSA :

— prepare your OpenAi Key

— python laptop_support.py

Visualize the experiment :

— python laptop_pic.py