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@@ -39,7 +39,7 @@ This model generates abridged versions of texts informed by the AbLit dataset.
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  <!-- This section is meant to convey both technical and sociotechnical limitations. -->
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- This model comes from research on abridgement as an NLP task, but the dataset the model is trained on (AbLit) is derived from a small set of texts associated with a specific domain and author. There are significant practical reasons for this limited scope. In particular, in constrast to the books in AbLit, most recently published books are not included in publicly accessible datasets due to copyright restrictions, and the same restrictions typically apply to any abridgements of these books. For this reason, AbLit consists of British English literature from the 18th and 19th centuries. Some of the linguistic properties of these original books do not generalize to other types of English texts, and therefore the model might not produce desirable abridgements for these other texts.
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  ## How to Get Started with the Model
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  <!-- This section is meant to convey both technical and sociotechnical limitations. -->
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+ This model comes from research on abridgement as an NLP task, but the dataset the model is trained on (AbLit) is derived from a small set of texts associated with a specific domain and author. In particular, AbLit consists of British English literature from the 18th and 19th centuries, abridged by a single author. Some of the linguistic properties of these original books do not generalize to other domains of English text, and therefore the model might not produce desirable abridgements for other texts.
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  ## How to Get Started with the Model
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