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README.md
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@@ -181,6 +181,8 @@ The ERWT series were trained for evaluation purposes and therefore carry some cr
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Many of the limitations are a direct result of the data. ERWT models are trained on a rather small subsample of nineteenth-century British newspapers, and its predictions have to be understood in this context (remember, Her Majesty?). Moreover, the corpus has a strong Metropolitan and liberal bias (see the section on Data Description for more information).
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Historically models tend to reflect past (and present?) stereotypes and prejudices. We strongly advise against using these models outside of the context of historical research. The predictions are likely to exhibit harmful biases and should be investigated critically and understood within the context of nineteenth-century British cultural history.
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### Training Routine
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Many of the limitations are a direct result of the data. ERWT models are trained on a rather small subsample of nineteenth-century British newspapers, and its predictions have to be understood in this context (remember, Her Majesty?). Moreover, the corpus has a strong Metropolitan and liberal bias (see the section on Data Description for more information).
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The training data ranges from 1800 to 1880. If your period of interest is outside of this historical period, it's unlikely that ERWT will be of much use. Don't ask the poor model to predict when the Second World War happened. ERWT can be smart (at times) but it doesn't have the power of fortune-telling. At least not yet...
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Historically models tend to reflect past (and present?) stereotypes and prejudices. We strongly advise against using these models outside of the context of historical research. The predictions are likely to exhibit harmful biases and should be investigated critically and understood within the context of nineteenth-century British cultural history.
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### Training Routine
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