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gotutiyan/IMPARA-QE

Model

0

stars

6

commits

3

repos using this model

2

linked in READMEs

Mar 7, 2026

updated

bert
endpoints_compatible
pytorch
safetensors
text-classification
text-embeddings-inference
transformers
Browse cluster: Transformer Text Classification & Embeddings →

README

A trained QE model for IMPARA, a reference-less performance measure for GEC task.

This model achieves 95.93 for Pearson's correlation and 93.01 for Spearman's, for Grundkiewicz +15's Expected Wins score (Note that bert-base-cased is used for SE model).

You can see the detail in this GitHub repository, e.g. How to use this model.

Contributors

gotutiyan

5 commits

SFconvertbot

1 commits

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gotutiyan/IMPARA-QE

Model

0

stars

6

commits

3

repos using this model

2

linked in READMEs

Mar 7, 2026

updated

bert
endpoints_compatible
pytorch
safetensors
text-classification
text-embeddings-inference
transformers
Browse cluster: Transformer Text Classification & Embeddings →

README

A trained QE model for IMPARA, a reference-less performance measure for GEC task.

This model achieves 95.93 for Pearson's correlation and 93.01 for Spearman's, for Grundkiewicz +15's Expected Wins score (Note that bert-base-cased is used for SE model).

You can see the detail in this GitHub repository, e.g. How to use this model.

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UNOFFICIAL implementation of "IMPARA: Impact-Based Metric for GEC Using Parallel Data", COLING2022

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Code for the paper: "Improving Explainability of Sentence-level Metrics via Edit-level Attribution…

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Linked in READMEs

gotutiyan/gec-metrics

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14

README badge

gotutiyan/IMPARA

UNOFFICIAL implementation of "IMPARA: Impact-Based Metric for GEC Using Parallel Data", COLING2022

2

README badge

Contributors

gotutiyan

5 commits

SFconvertbot

1 commits