Bachelorarbeit BCLR-2018-97

Bibliograph.
Daten
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.
Universität Stuttgart, Fakultät Informatik, Elektrotechnik und Informationstechnik, Bachelorarbeit Nr. 97 (2018).
63 Seiten, englisch.
Kurzfassung

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.

Abteilung(en)Universität Stuttgart, Institut für Maschinelle Sprachverarbeitung
BetreuerVu, Jun.-Prof. Ngoc Thang; Jagfeld, Glorianna
Eingabedatum20. Mai 2019
   Publ. Informatik