TY - JOUR AU - Li, Qiuchi AU - Gkoumas, Dimitris AU - Sordoni, Alessandro AU - Nie, Jian-Yun AU - Melucci, Massimo PY - 2021/05/18 Y2 - 2024/03/29 TI - Quantum-inspired Neural Network for Conversational Emotion Recognition JF - Proceedings of the AAAI Conference on Artificial Intelligence JA - AAAI VL - 35 IS - 15 SE - AAAI Technical Track on Speech and Natural Language Processing II DO - 10.1609/aaai.v35i15.17567 UR - https://ojs.aaai.org/index.php/AAAI/article/view/17567 SP - 13270-13278 AB - We provide a novel perspective on conversational emotion recognition by drawing an analogy between the task and a complete span of quantum measurement. We characterize different steps of quantum measurement in the process of recognizing speakers' emotions in conversation, and stitch them up with a quantum-like neural network. The quantum-like layers are implemented by complex-valued operations to ensure an authentic adoption of quantum concepts, which naturally enables conversational context modeling and multimodal fusion. We borrow an existing algorithm to learn the complex-valued network weights, so that the quantum-like procedure is conducted in a data-driven manner. Our model is comparable to state-of-the-art approaches on two benchmarking datasets, and provide a quantum view to understand conversational emotion recognition. ER -