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README.md
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- evaluate
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- metric
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sdk: gradio
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sdk_version:
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app_file: app.py
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pinned: false
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description: >-
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SEM-F1 metric leverages the pre-trained contextual embeddings and evaluates
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computes precision, recall and F1 scores.
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Refer to the paper `SEM-F1: an Automatic Way for Semantic Evaluation of
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for more details.
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---
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# Metric Card for Sem-F1
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## Further References
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- [Paper](https://aclanthology.org/2022.emnlp-main.49/)
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- [Presentation Slides](https://auburn.box.com/s/rs5p7sttaonbvljnq0i5tk7xxw0vonn3)
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- [Video](https://auburn.box.com/s/c1bmb8c0a2emc9xhnjfalvqo2100yxvf)
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- evaluate
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- metric
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sdk: gradio
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sdk_version: 4.36.1
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app_file: app.py
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pinned: false
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description: >-
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SEM-F1 metric leverages the pre-trained contextual embeddings and evaluates
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the model generated semantic overlap summary with the reference overlap
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summary. It evaluates the semantic overlap summary at the sentence level and
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computes precision, recall and F1 scores.
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Refer to the paper `SEM-F1: an Automatic Way for Semantic Evaluation of
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Multi-Narrative Overlap Summaries at Scale` for more details.
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---
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# Metric Card for Sem-F1
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## Further References
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- [Paper](https://aclanthology.org/2022.emnlp-main.49/)
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- [Presentation Slides](https://auburn.box.com/s/rs5p7sttaonbvljnq0i5tk7xxw0vonn3)
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- [Video](https://auburn.box.com/s/c1bmb8c0a2emc9xhnjfalvqo2100yxvf)
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