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cs.CL2020
Predicting the Humorousness of Tweets Using Gaussian Process Preference Learning
Tristan Miller, Erik-Lân Do Dinh, Edwin Simpson +1
Most humour processing systems to date make at best discrete, coarse-grained distinctions between the comical and the conventional, yet such notions are better conceptualized as a…
cs.CL2018★ 27 cited
Cross-topic Argument Mining from Heterogeneous Sources Using Attention-based Neural Networks
Christian Stab, Tristan Miller, Iryna Gurevych
Argument mining is a core technology for automating argument search in large document collections. Despite its usefulness for this task, most current approaches to argument mining…