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Source code for ICTAI2022: Enhancing Neural Aspect Term Extraction Using Part-Of-Speech and Syntactic Dependency Features

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EnhancingAspectTermExtractionUsingPOSandDep

Source code for ICTAI2022: Enhancing Neural Aspect Term Extraction Using Part-Of-Speech and Syntactic Dependency Features

Enhancing Neural Aspect Term Extraction Using Part-Of-Speech and Syntactic Dependency Features

Steps to Run Code

  • Step 1:

Download pre-trained model weight [bert-base-uncased] [pt-bert-base]

  • Step 2:

Run the single Model:

Place model files as:

Single/PLM/bert-base-uncased/
Single/PLM/pt-bert-base/

Run:

cd Single
fitlog init .
python main.py
  • Step3:

Run the PST&Ours:

Place model files as: (Please don't replace existing files in the folder)

PST/train/model/bert-base-uncased/
PST/train/model/pt-bert-base/

Run:

cd PST/train/
bash pipeline.sh

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Source code for ICTAI2022: Enhancing Neural Aspect Term Extraction Using Part-Of-Speech and Syntactic Dependency Features

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