[TextGraphs-17] Semantic Graphs for Syntactic Simplification: A Revisit from the Age of LLM

Peiran Yao, Kostyantyn Guzhva, and Denilson Barbosa. 2024. Semantic Graphs for Syntactic Simplification: A Revisit from the Age of LLM. In Proceedings of TextGraphs-17: Graph-based Methods for Natural Language Processing, pages 105–115, Bangkok, Thailand. Association for Computational Linguistics.

Unfortunately, we are still working on licensing to release the exact Orlando dataset used in the paper - we will update this repository after EMNLP 2024.

Setting up environment

conda env create --name amrbart --file requirements.yml
conda activate amrbart

Unfortunately, you might still need to manually downgrade numpy and pandas:

pip install numpy=1.26.4
pip install "pandas<2.2"

Downloading the models

git lfs install
git clone https://huggingface.co/xfbai/AMRBART-large-finetuned-AMR3.0-AMRParsing-v2 amrbart/parsing-model
git clone https://huggingface.co/peiran-yao/AMRBART-AMR2Text-SimpleWiki-EntityMasking amrbart/realization-model

Running the AMRBART-based pipeline (AMRSSS)

python3 pipeline-bart.py example.csv example-output.csv

Running the LLM+AMR pipelines (AMRCoC)

Unfortunately, AMRBART's dependencies are too old for the LLM+AMR pipelines. You will need to create a new environment for this:

conda env create --name amr-coc --file amr-coc/requirements.yml
conda activate amr-coc
pip install vllm openai

Then, you can run the pipeline:

Change line 25 in pipeline-llm.py to the path of AMRSSS output file (or anything that contains amr column).

python3 pipeline-llm.py --prompting "vanilla"/"amrcot"/"amrcoc" --llm gpt

Citation

@inproceedings{yao-etal-2024-semantic,
    title = "Semantic Graphs for Syntactic Simplification: A Revisit from the Age of {LLM}",
    author = "Yao, Peiran  and
      Guzhva, Kostyantyn  and
      Barbosa, Denilson",
    booktitle = "Proceedings of TextGraphs-17: Graph-based Methods for Natural Language Processing",
    month = aug,
    year = "2024",
    address = "Bangkok, Thailand",
    publisher = "Association for Computational Linguistics",
    url = "https://aclanthology.org/2024.textgraphs-1.8",
    pages = "105--115"
}