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Stop Removing Stopwords: How an Inherited Preprocessing Default Distorts Legal Text-as-Data
computation-and-languagecomputers-and-societyh-3-3i-2-6i-2-7information-retrievalj-1machine-learning
Empirical legal scholarship increasingly treats judicial text as data, and much of it still runs on sparse, interpretable pipelines -- TF-IDF features and linear classifiers -- because the textual feature is often the object of study, not merely a means to a prediction. Yet these pipelines inherit a
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