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Sentiment analysis is a crucial task that aims to understand people's emotional states and predict emotional categories based on multimodal information.
IEMOCAP: Interactive Emotional Dyadic Motion Capture Database
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Mosi: Multimodal Corpus of Sentiment Intensity and Subjectivity Analysis in Online Opinion Videos
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Gate-Variants of Gated Recurrent Unit Neural Networks. In 2017 IEEE 60th International Midwest Symposium on Circuits and Systems . 1597–1600
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Inductive Representation Learning on Large Graphs
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Mobilenets: Efficient Convolutional Neural Networks for Mobile Vision Applications
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Dailydialog: A Manually Labelled Multi-turn Dialogue Dataset
Yanran Li, Hui Su, Xiaoyu Shen, Wenjie Li, Ziqiang Cao, and Shuzi Niu. 2017 · 2017
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Attention Modeling for Targeted Sentiment. In Proceedings of the Conference of the European Chapter of the Association for Computational Linguistics: Volume 2, Short Papers . 572–577
Jiangming Liu and Yue Zhang. 2017 · 2017
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Interactive Attention Networks for Aspect-Level Sentiment Classification. In Proceedings of the 26th International Joint Conference on Artificial Intelligence . 4068–4074
Dehong Ma, Sujian Li, Xiaodong Zhang, and Houfeng Wang. 2017 · 2017
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Context-Dependent Sentiment Analysis in User-Generated Videos. In Proceedings of the 55th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers) . 873–883
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SemEval-2017 Task 4: Sentiment Analysis in Twitter. In Proceedings of the 11th International Workshop on Semantic Evaluation 2017 . 502–518
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Attention is All You Need
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Tensor Fusion Network for Multimodal Sentiment Analysis. In Proceedings of the 2017 Conference on Empirical Methods in Natural Language Processing . 1103–1114
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Emotion Detection on TV Show Transcripts with Sequence-based Convolutional Neural Networks
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Semeval 2018 Task 2: Multilingual Emoji Prediction. In Proceedings of The 12th International Workshop on Semantic Evaluation . 24–33
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Bert: Pre-training of Deep Bidirectional Transformers for Language Understanding
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ICON: Interactive Conversational Memory Network for Multimodal Emotion Detection. In Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing . 2594–2604
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Semeval-2018 Task 1: Affect in Tweets. In Proceedings of the 12th International Workshop on Semantic Evaluation . 1–17
Saif Mohammad, Felipe Bravo-Marquez, Mohammad Salameh, and Svetlana Kiritchenko. 2018 · 2018
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SemEval-2019 Task 5: Multilingual Detection of Hate Speech Against Immigrants and Women in Twitter. In Proceedings of the 13th International Workshop on Semantic Evaluation . 54–63
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Roberta: A Robustly Optimized BERT Pretraining Approach
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Exploring Sequence-to-Sequence Learning in Aspect Term Extraction. In Proceedings of the 57th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers) . 3538–3547
Scalevlad: Improving Multimodal Sentiment Analysis via Multi-scale Fusion of Locally Descriptors
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Dynamic modality interaction modeling for image-text retrieval. In Proceedings of the 44th International ACM SIGIR Conference on Research and Development in Information Retrieval . 1104–1113
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Dehong Ma, Sujian Li, Fangzhao Wu, Xing Xie, and Houfeng Wang. 2019 · 2019
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DialogueRNN: An Attentive RNN for Emotion Detection in Conversations. In Proceedings of the AAAI Conference on Artificial Intelligence . 6818–6825
Navonil Majumder, Soujanya Poria, Devamanyu Hazarika, Rada Mihalcea, Alexander Gelbukh, and Erik Cambria. 2019 · 2019
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Justifying Recommendations Using Distantly-Labeled Reviews and Fine-Grained Aspects. In Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing . 188–197
Jianmo Ni, Jiacheng Li, and Julian McAuley. 2019 · 2019
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MELD: A Multimodal Multi-Party Dataset for Emotion Recognition in Conversations. In Proceedings of the 57th Annual Meeting of the Association for Computational Linguistics . 527–536
Soujanya Poria, Devamanyu Hazarika, Navonil Majumder, Gautam Naik, Erik Cambria, and Rada Mihalcea. 2019 · 2019
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Language Models Are Unsupervised Multitask Learners
Alec Radford, Jeffrey Wu, Rewon Child, David Luan, Dario Amodei, Ilya Sutskever, et al · 2019
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Revisiting LSTM Networks for Semi-supervised Text Classification via Mixed Objective Function. In Proceedings of the AAAI Conference on Artificial Intelligence . 6940–6948
Devendra Singh Sachan, Manzil Zaheer, and Ruslan Salakhutdinov. 2019 · 2019
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Multimodal Transformer for Unaligned Multimodal Language Sequences. In Proceedings of the 57th Annual Meeting of the Association for Computational Linguistics . 6558–6569
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Xlnet: Generalized Autoregressive Pretraining for Language Understanding
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COSMIC: COmmonSense knowledge for eMotion Identification in Conversations. In Findings of the Association for Computational Linguistics: EMNLP 2020 . 2470–2481
Deepanway Ghosal, Navonil Majumder, Alexander Gelbukh, Rada Mihalcea, and Soujanya Poria. 2020 · 2020
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Yiran Xing, Zai Shi, Zhao Meng, Gerhard Lakemeyer, Yunpu Ma, and Roger Wattenhofer. 2021 · 2021
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Learning Modality-specific Representations with Self-supervised Multi-task Learning for Multimodal Sentiment Analysis. In Proceedings of the AAAI Conference on Artificial Intelligence . 10790–10797
Wenmeng Yu, Hua Xu, Ziqi Yuan, and Jiele Wu. 2021 · 2021
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Vlmo: Unified Vision-Language Pre-Training with Mixture-of-Modality-Experts
Hangbo Bao, Wenhui Wang, Li Dong, Qiang Liu, Owais Khan Mohammed, Kriti Aggarwal, Subhojit Som, Songhao Piao, and Furu Wei. 2022 · 2022
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EmoWOZ: A Large-Scale Corpus and Labelling Scheme for Emotion Recognition in Task-Oriented Dialogue Systems. In Proceedings of the Thirteenth Language Resources and Evaluation Conference . 4096–4113
Shutong Feng, Nurul Lubis, Christian Geishauser, Hsien-Chin Lin, Michael Heck, Carel van Niekerk, and Milica Gasic. 2022 · 2022
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UniMSE: Towards Unified Multimodal Sentiment Analysis and Emotion Recognition. In Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing . 7837–7851
Guimin Hu, Ting-En Lin, Yi Zhao, Guangming Lu, Yuchuan Wu, and Yongbin Li. 2022 · 2022
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CoMPM: Context Modeling with Speaker’s Pre-trained Memory Tracking for Emotion Recognition in Conversation
Joosung Lee and Wooin Lee. 2022 · 2022
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Jiang Li, Xiaoping Wang, Guoqing Lv, and Zhigang Zeng. 2022c · 2022
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EmoCaps: Emotion Capsule based Model for Conversational Emotion Recognition. In Findings of the Association for Computational Linguistics: ACL 2022 . 1610–1618
Zaijing Li, Fengxiao Tang, Ming Zhao, and Yusen Zhu. 2022b · 2022
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Duplex Conversation: Towards Human-like Interaction in Spoken Dialogue Systems. In Proceedings of the 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining . 3299–3308
Ting-En Lin, Yuchuan Wu, Fei Huang, Luo Si, Jian Sun, and Yongbin Li. 2022 · 2022
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Search-oriented micro-video captioning. In Proceedings of the 30th ACM International Conference on Multimedia . 3234–3243
Liqiang Nie, Leigang Qu, Dai Meng, Min Zhang, Qi Tian, and Alberto Del Bimbo. 2022 · 2022
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Supervised Prototypical Contrastive Learning for Emotion Recognition in Conversation. In Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing . 5197–5206
Xiaohui Song, Longtao Huang, Hui Xue, and Songlin Hu. 2022 · 2022
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Emergent Abilities of Large Language Models
Jason Wei, Yi Tay, Rishi Bommasani, Colin Raffel, Barret Zoph, Sebastian Borgeaud, Dani Yogatama, Maarten Bosma, Denny Zhou, Donald Metzler, et al · 2022
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A Slot Is Not Built in One Utterance: Spoken Language Dialogs with Sub-Slots. In Findings of the Association for Computational Linguistics: ACL 2022 . 309–321
Sai Zhang, Yuwei Hu, Yuchuan Wu, Jiaman Wu, Yongbin Li, Jian Sun, Caixia Yuan, and Xiaojie Wang. 2022a · 2022
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Unsupervised Dialogue Topic Segmentation with Topic-aware Contrastive Learning. In Proceedings of the 46th International ACM SIGIR Conference on Research and Development in Information Retrieval . 2481–2485
Haoyu Gao, Rui Wang, Ting-En Lin, Yuchuan Wu, Min Yang, Fei Huang, and Yongbin Li. 2023 · 2023
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Jan Kocoń, Igor Cichecki, Oliwier Kaszyca, Mateusz Kochanek, Dominika Szydło, Joanna Baran, Julita Bielaniewicz, Marcin Gruza, Arkadiusz Janz, Kamil Kanclerz, et al · 2023
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Empathetic Response Generation via Emotion Cause Transition Graph
Yushan Qian, Bo Wang, Ting-En Lin, Yinhe Zheng, Ying Zhu, Dongming Zhao, Yuexian Hou, Yuchuan Wu, and Yongbin Li. 2023 · 2023
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Shuzheng Si, Wentao Ma, Yuchuan Wu, Yinpei Dai, Haoyu Gao, Ting-En Lin, Hangyu Li, Rui Yan, Fei Huang, and Yongbin Li. 2023 · 2023
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Speech-Text Pre-training for Spoken Dialog Understanding with Explicit Cross-Modal Alignment. In Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers) . 7900–7913
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