Re-Ranking Words to Improve Interpretability of Automatically Generated Topics

WS 2019 Areej AlokailiNikolaos AletrasMark Stevenson

Topics models, such as LDA, are widely used in Natural Language Processing. Making their output interpretable is an important area of research with applications to areas such as the enhancement of exploratory search interfaces and the development of interpretable machine learning models... (read more)

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