Context-aware Neural-based Dialog Act Classification on Automatically Generated Transcriptions

This paper presents our latest investigations on dialog act (DA) classification on automatically generated transcriptions. We propose a novel approach that combines convolutional neural networks (CNNs) and conditional random fields (CRFs) for context modeling in DA classification. We explore the imp...

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Veröffentlicht in:	arXiv.org 2019-02
Hauptverfasser:	Ortega, Daniel, Chia-Yu, Li, Vallejo, Gisela, Denisov, Pavel, Vu, Ngoc Thang
Format:	Artikel
Sprache:	eng
Schlagworte:	Artificial neural networks Automatic speech recognition Classification Hybrid systems
Online-Zugang:	Volltext
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