Self-Enhancing Multi-filter Sequence-to-Sequence Model

Representation learning is important for solving sequence-to-sequence problems in natural language processing. Representation learning transforms raw data into vector-form representations while preserving their features. However, data with significantly different features leads to heterogeneity in t...

Ausführliche Beschreibung

Bibliographische Detailangaben

Veröffentlicht in:	arXiv.org 2023-01
Hauptverfasser:	Yang, Yunhao, Xue, Zhaokun, Whinston, Andrew
Format:	Artikel
Sprache:	eng
Schlagworte:	Algorithms Clustering Coders Computer Science - Computation and Language Encoders-Decoders Machine learning Machine translation Semantics Sentences Subspaces
Online-Zugang:	Volltext
Tags:	Tag hinzufügen Keine Tags, Fügen Sie den ersten Tag hinzu!