Text Classification
TF-Keras
English
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@@ -4,11 +4,11 @@ pipeline_tag: text-classification
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  widget:
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  - text: Electronic cigarettes (also known as vapes, vaporizers, or vape pens) were introduced into the US market in 2007.
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  output:
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- - label: MOVE_0
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  score: 0.9
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- - label: MOVE_1
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  score: 0.05
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- - label: MOVE_2
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  score: 0.05
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  license: mit
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  datasets:
@@ -25,9 +25,9 @@ base_model: google/bert-base-cased
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  This model is a fine-tuned BERT model designed to classify sentences from the introductions of scientific research papers into one of three IMRaD moves:
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- * **MOVE_0 (Establishing a Research Territory):** Setting the context and background information for the research.
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- * **MOVE_1 (Establishing a Niche):** Identifying a gap or problem in existing research.
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- * **MOVE_2 (Occupying the Niche):** Proposing a solution or approach to address the identified gap.
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  ## Intended Uses & Limitations
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  widget:
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  - text: Electronic cigarettes (also known as vapes, vaporizers, or vape pens) were introduced into the US market in 2007.
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  output:
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+ - label: Establishing a Research Territory
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  score: 0.9
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+ - label: Establishing a Niche
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  score: 0.05
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+ - label: Occupying the Niche
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  score: 0.05
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  license: mit
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  datasets:
 
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  This model is a fine-tuned BERT model designed to classify sentences from the introductions of scientific research papers into one of three IMRaD moves:
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+ * **Establishing a Research Territory:** Setting the context and background information for the research.
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+ * **Establishing a Niche:** Identifying a gap or problem in existing research.
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+ * **Occupying the Niche:** Proposing a solution or approach to address the identified gap.
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  ## Intended Uses & Limitations
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