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Quantum-Inspired Interactive Networks for Conversational Sentiment Analysis.

Zhang, Yazhou; Li, Qiuchi; Song, Dawei; Zhang, Peng and Wang, Panpan (2019). Quantum-Inspired Interactive Networks for Conversational Sentiment Analysis. In: 28th International Joint Conference on Artificial Intelligence (IJCAI2019), 10-16 Aug 2019, Macau, China.

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Conversational sentiment analysis is an emerging, yet challenging Artificial Intelligence (AI) subtask. It aims to discover the affective state of each participant in a conversation. There exists a wealth of interaction information that affects the sentiment of speakers. However, the existing sentiment analysis approaches are insufficient in dealing with this task due to ignoring the interactions and dependency relationships between utterances. In this paper, we aim to address this issue by modeling intrautterance and inter-utterance interaction dynamics. We propose an approach called quantum-inspired interactive networks (QIN), which leverages the mathematical formalism of quantum theory (QT) and the long short term memory (LSTM) network, to learn such interaction dynamics. Specifically, a density matrix based convolutional neural network (DM-CNN) is proposed to capture the interactions within each utterance (i.e., the correlations between words), and a strong-weak influence model inspired by quantum measurement theory is developed to learn the interactions between adjacent utterances (i.e., how one speaker influences another). Extensive experiments are conducted on the MELD and IEMOCAP datasets. The experimental results demonstrate the effectiveness of the QIN model.

Item Type: Conference or Workshop Item
Copyright Holders: 2019 The Authors
Academic Unit/School: Faculty of Science, Technology, Engineering and Mathematics (STEM) > Computing and Communications
Faculty of Science, Technology, Engineering and Mathematics (STEM)
Research Group: Centre for Research in Computing (CRC)
Item ID: 61755
Depositing User: Dawei Song
Date Deposited: 17 Jun 2019 09:39
Last Modified: 06 Sep 2019 22:12
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