| Bibliography | Ziegler, David: An Empirical Comparison of Long Short-Term Memory Units and Gated Recurrent Units in a Sequence-to-Sequence Model for Natural Language Generation.
University of Stuttgart, Faculty of Computer Science, Electrical Engineering, and Information Technology, Bachelor Thesis No. 97 (2018).
63 pages, english.
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| Abstract | This bachelor thesis compares the long short-term memory (LSTM) unit and a recently proposed gated recurrent unit (GRU) in a empirical way. The comparison task is the sequence-to-sequence model, which has its roots in the natural language generation field. The task of the sequence-to-sequence model is to generate from a triple value an corresponding natural language sentence. The experiments in this bachelor thesis revealed that there is no superior unit and both units have advantages in certain scenarios.
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| Department(s) | University of Stuttgart, Institute for Natural Language Processing
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| Superviser(s) | Vu, Jun.-Prof. Ngoc Thang; Jagfeld, Glorianna |
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| Entry date | May 20, 2019 |
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