Emotional conversation generation with heterogeneous graph neural network
- 1 July 2022
- journal article
- research article
- Published by Elsevier BV in Artificial Intelligence
Abstract
No abstract availableKeywords
Funding Information
- National Natural Science Foundation of China
- National Key Research and Development Program of China Stem Cell and Translational Research
This publication has 16 references indexed in Scilit:
- Affective Neural Response GenerationLecture Notes in Computer Science, 2018
- Hierarchical Variational Memory Network for Dialogue GenerationPublished by Association for Computing Machinery (ACM) ,2018
- How to Make Context More Useful? An Empirical Study on Context-Aware Neural Conversational ModelsPublished by Association for Computational Linguistics (ACL) ,2017
- A survey of heterogeneous information network analysisIEEE Transactions on Knowledge and Data Engineering, 2016
- VQA: Visual Question AnsweringPublished by Institute of Electrical and Electronics Engineers (IEEE) ,2015
- Norms of valence, arousal, and dominance for 13,915 English lemmasBehavior Research Methods, 2013
- THE EMPATHIC COMPANION: A CHARACTER-BASED INTERFACE THAT ADDRESSES USERS' AFFECTIVE STATESApplied Artificial Intelligence, 2005
- The effects of affective interventions in human–computer interactionInteracting with Computers, 2004
- Long Short-Term MemoryNeural Computation, 1997
- The Equivalence of Weighted Kappa and the Intraclass Correlation Coefficient as Measures of ReliabilityEducational and Psychological Measurement, 1973