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cs.CL2021
Evaluation of Representation Models for Text Classification with AutoML Tools
Sebastian Brändle, Marc Hanussek, Matthias Blohm +1
Automated Machine Learning (AutoML) has gained increasing success on tabular data in recent years. However, processing unstructured data like text is a challenge and not widely sup…
cs.CL2018★ 2 cited
Comparing Attention-based Convolutional and Recurrent Neural Networks: Success and Limitations in Machine Reading Comprehension
Matthias Blohm, Glorianna Jagfeld, Ekta Sood +2
We propose a machine reading comprehension model based on the compare-aggregate framework with two-staged attention that achieves state-of-the-art results on the MovieQA question a…