DHF-Net : a hierarchical feature interactive fusion network for dialogue emotion recognition

Gan, Chenquan (avtor), Yang, Yucheng (avtor), Zhu, Qingyi (avtor), Jain, Deepak Kumar (avtor), Štruc, Vitomir (avtor)

To balance the trade-off between contextual information and fine-grained information in identifying specific emotions during a dialogue and combine the interaction of hierarchical feature related information, this paper proposes a hierarchical feature interactive fusion network (named DHF-Net), which not only can retain the integrity of the context sequence information but also can extract more fine-grained information. To obtain a deep semantic information, DHF-Net processes the task of recognizing dialogue emotion and dialogue act/intent separately, and then learns the cross-impact of two tasks through collaborative attention. Also, a bidirectional gate recurrent unit (Bi-GRU) connected hybrid convolutional neural network (CNN) group method is designed, by which the sequence information is smoothly sent to the multi-level local information layers for feature exaction. Experimental results show that, on two open session datasets, the performance of DHF-Net is improved by 1.8% and 1.2%, respectively.

• Jezik: Angleški jezik
• Ključne besede: emotion recognition, text processing, NLP, deep learning, dialogue emotion recognition, contextual information, fine-grained information, hierarchical feature, interactive fusion
• Vrsta gradiva: Članek v reviji
• Tipologija: 1.01 - Izvirni znanstveni članek
• Organizacija: FE - Fakulteta za elektrotehniko
• Status publikacije: Objavljeno
• Različica publikacije: Objavljena publikacija
• Leto izida: 2022
• Št. strani: 8 str.
• Številčenje: Vol. 210, art. 118525
• PID: 20.500.12556/RUL-139610
• UDK: 004.9:004.8
• ISSN pri članku: 0957-4174
• DOI: 10.1016/j.eswa.2022.118525
• COBISS.SI-ID: 119131395
• Datum objave v RUL: 06.09.2022

Gradivo je del revije

• Naslov: Expert systems with applications
• Skrajšan naslov: Expert syst. appl.
• Založnik: Elsevier
• ISSN: 0957-4174
• COBISS.SI-ID: 171291

Licence

• Licenca: CC BY-NC-ND 4.0, Creative Commons Priznanje avtorstva-Nekomercialno-Brez predelav 4.0 Mednarodna
• Povezava: http://creativecommons.org/licenses/by-nc-nd/4.0/deed.sl
• Opis: Najbolj omejujoča licenca Creative Commons. Uporabniki lahko prenesejo in delijo delo v nekomercialne namene in ga ne smejo uporabiti za nobene druge namene.

Sekundarni jezik

• Jezik: Slovenski jezik
• Ključne besede: razpoznavanje emocij, procesiranje besedil, dialog, NLP, globoko učenje