91 citations · 104 across the 12 of their papers we have counts for
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cs.CL2019★ 2 cited
Interpretable Question Answering on Knowledge Bases and Text
Alona Sydorova, Nina Poerner, Benjamin Roth
Interpretability of machine learning (ML) models becomes more relevant with their increasing adoption. In this work, we address the interpretability of ML based question answering…
cs.CL2019★ 1 cited
Domain adaptation for part-of-speech tagging of noisy user-generated text
Luisa März, Dietrich Trautmann, Benjamin Roth
The performance of a Part-of-speech (POS) tagger is highly dependent on the domain ofthe processed text, and for many domains there is no or only very little training data availabl…