94 citations · 191 across the 9 of their papers we have counts for
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cs.CL2018
Modeling Composite Labels for Neural Morphological Tagging
Alexander Tkachenko, Kairit Sirts
Neural morphological tagging has been regarded as an extension to POS tagging task, treating each morphological tag as a monolithic label and ignoring its internal structure. We pr…
cs.CL2018★ 1 cited
Neural Morphological Tagging for Estonian
Alexander Tkachenko, Kairit Sirts
We develop neural morphological tagging and disambiguation models for Estonian. First, we experiment with two neural architectures for morphological tagging - a standard multiclass…
cs.IR2018
The Impact of Annotation Guidelines and Annotated Data on Extracting App Features from App Reviews
Faiz Ali Shah, Kairit Sirts, Dietmar Pfahl
Annotation guidelines used to guide the annotation of training and evaluation datasets can have a considerable impact on the quality of machine learning models. In this study, we e…