Quantifying the Effects of Text Duplication on Semantic Models

EMNLP 2017 Alex SchofieldraLaure ThompsonDavid Mimno

Duplicate documents are a pervasive problem in text datasets and can have a strong effect on unsupervised models. Methods to remove duplicate texts are typically heuristic or very expensive, so it is vital to know when and why they are needed... (read more)

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