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@@ -4,16 +4,17 @@ tags:
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  - evaluate
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  - metric
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  sdk: gradio
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- sdk_version: 3.19.1
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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 the model generated semantic overlap
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- summary with the reference overlap 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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-
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- Refer to the paper `SEM-F1: an Automatic Way for Semantic Evaluation of Multi-Narrative Overlap Summaries at Scale`
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- for more details.
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  ---
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  # Metric Card for Sem-F1
@@ -103,4 +104,4 @@ The default value is `use`.
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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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+
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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)