davidheineman/lens-salsa

This contains the trained checkpoint for LENS-SALSA, as introduced in Dancing Between Success and Failure: Edit-level Simplification Evaluation using SALSA. For more information, please refer to the SALSA repository.

pip install lens-metric

from lens import download_model
from lens.lens_salsa import LENS_SALSA

model_path = download_model("davidheineman/lens-salsa")
lens_salsa = LENS_SALSA(model_path)

score = lens_salsa.score(
    complex = [
        "They are culturally akin to the coastal peoples of Papua New Guinea."
    ],
    simple = [
        "They are culturally similar to the people of Papua New Guinea."
    ]
)

Intended uses

Our model is intented to be used for reference-free simplification evaluation. Given a source text and its translation, outputs a single score between 0 and 1 where 1 represents a perfect simplification and 0 a random simplification. LENS-SALSA was trained on edit annotations of the SimpEval dataset, which covers manually-written, complex Wikipedia simplifications. We have not evaluated our model on non-English languages or non-Wikipedia domains.

Cite SALSA

If you find our paper, code or data helpful, please consider citing our work:

@article{heineman2023dancing,
  title={Dancing {B}etween {S}uccess and {F}ailure: {E}dit-level {S}implification {E}valuation using {SALSA}},
  author = "Heineman, David and Dou, Yao and Xu, Wei",
  journal={arXiv preprint arXiv:2305.14458},
  year={2023}
}