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Thesis/Theses examined by Schütze, Hinrich

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Number of items: 11.

Moiseeva, Alena (2020): Statistical natural language processing methods for intelligent process automation. Dissertation, LMU München: Faculty for Languages and Literatures

Gupta, Pankaj (2019): Neural information extraction from natural language text. Dissertation, LMU München: Faculty of Mathematics, Computer Science and Statistics

Kann, Katharina (2019): Neural sequence-to-sequence models for low-resource morphology. Dissertation, LMU München: Faculty of Mathematics, Computer Science and Statistics

Adel, Heike (2018): Deep learning methods for knowledge base population. Dissertation, LMU München: Faculty of Mathematics, Computer Science and Statistics

Yin, Wenpeng (2017): Deep neural networks for identification of sentential relations. Dissertation, LMU München: Faculty of Mathematics, Computer Science and Statistics

Yaghoobzadeh, Yadollah (2017): Distributed representations for fine-grained entity typing. Dissertation, LMU München: Faculty of Mathematics, Computer Science and Statistics

Rothe, Sascha (2017): Supervised and unsupervised methods for learning representations of linguistic units. Dissertation, LMU München: Faculty of Mathematics, Computer Science and Statistics

Ebert, Sebastian (2017): Artificial Neural Network methods applied to sentiment analysis. Dissertation, LMU München: Faculty for Languages and Literatures

Kaumanns, Franz David (2016): Assessment and analysis of the applicability of recurrent neural networks to natural language understanding with a focus on the problem of coreference resolution. Dissertation, LMU München: Faculty for Languages and Literatures

Sergienya, Irina (2016): Distributional initialization of neural networks. Dissertation, LMU München: Faculty for Languages and Literatures

Müller, Thomas (2015): General methods for fine-grained morphological and syntactic disambiguation. Dissertation, LMU München: Faculty of Mathematics, Computer Science and Statistics

This list was generated on Fri Oct 30 21:50:07 2020 CET.