Erik Cambria

ORCID

Publication Activity (10 Years)

Years Active: 2009-2024
Publications (10 Years): 443

Top Venues

University of Stirling, UK (PHD)

Education History

University of Stirling, UK

PHD

Publications

Wei Jie Yeo, Ranjan Satapathy, Erik Cambria
Plausible Extractive Rationalization through Semi-Supervised Entailment Signal. ACL (Findings) (2024)
Xulang Zhang, Rui Mao, Erik Cambria
SenticVec: Toward Robust and Human-Centric Neurosymbolic Sentiment Analysis. ACL (Findings) (2024)
Weilun Yu, Chengming Li, Xiping Hu, Wenhua Zhu, Erik Cambria, Dazhi Jiang
Dialogue emotion model based on local-global context encoder and commonsense knowledge fusion attention. Int. J. Mach. Learn. Cybern. 15 (7) (2024)
Qian Liu, Xiubo Geng, Yu Wang, Erik Cambria, Daxin Jiang
Disentangled Retrieval and Reasoning for Implicit Question Answering. IEEE Trans. Neural Networks Learn. Syst. 35 (6) (2024)
Ashok Kumar Jayaraman, Gayathri Ananthakrishnan, Tina Esther Trueman, Erik Cambria
Chapter Four - Text-based personality prediction using XLNet. Adv. Comput. 132 (2024)
Chunxiao Fan, Jie Lin, Rui Mao, Erik Cambria
Fusing pairwise modalities for emotion recognition in conversations. Inf. Fusion 106 (2024)
Yu Ma, Rui Mao, Qika Lin, Peng Wu, Erik Cambria
Quantitative stock portfolio optimization by multi-task learning risk and return. Inf. Fusion 104 (2024)
Rui Mao, Kai He, Xulang Zhang, Guanyi Chen, Jinjie Ni, Zonglin Yang, Erik Cambria
A survey on semantic processing techniques. Inf. Fusion 101 (2024)
Rui Mao, Kai He, Claudia Ong, Qian Liu, Erik Cambria
MetaPro 2.0: Computational Metaphor Processing on the Effectiveness of Anomalous Language Modeling. ACL (Findings) (2024)
Tan Yue, Xuzhao Shi, Rui Mao, Zonghai Hu, Erik Cambria
SarcNet: A Multilingual Multimodal Sarcasm Detection Dataset. LREC/COLING (2024)
Iti Chaturvedi, Ranjan Satapathy, Curtis Lynch, Erik Cambria
Predicting word vectors for microtext. Expert Syst. J. Knowl. Eng. 41 (8) (2024)
Rui Mao, Guanyi Chen, Xulang Zhang, Frank Guerin, Erik Cambria
GPTEval: A Survey on Assessments of ChatGPT and GPT-4. LREC/COLING (2024)
Ankita Gandhi, Param Ahir, Kinjal Adhvaryu, Pooja Shah, Ritika Lohiya, Erik Cambria, Soujanya Poria, Amir Hussain
Hate speech detection: A comprehensive review of recent works. Expert Syst. J. Knowl. Eng. 41 (8) (2024)
Xiaoshi Zhong, Chenyu Jin, Mengyu An, Erik Cambria
XTime: A general rule-based method for time expression recognition and normalization. Knowl. Based Syst. 297 (2024)
Deeksha Varshney, Asif Ekbal, Erik Cambria
Emotion-and-knowledge grounded response generation in an open-domain dialogue setting. Knowl. Based Syst. 284 (2024)
Wei Jie Yeo, Ranjan Satapathy, Rick Siow Mong Goh, Erik Cambria
How Interpretable are Reasoning Explanations from Prompting Large Language Models? CoRR (2024)
Amirhossein Aminimehr, Pouya Khani, Amirali Molaei, Amirmohammad Kazemeini, Erik Cambria
TbExplain: A Text-Based Explanation Method for Scene Classification Models With the Statistical Prediction Correction. GUIDE-AI@SIGMOD (2024)
Mengyue Liu, Jun Liu, Yixiang Dong, Rui Mao, Erik Cambria
Interest-driven community detection on attributed heterogeneous information networks. Inf. Fusion 111 (2024)
Phuong Le-Hong, Erik Cambria
Integrating graph embedding and neural models for improving transition-based dependency parsing. Neural Comput. Appl. 36 (6) (2024)
Kelvin Du, Frank Xing, Rui Mao, Erik Cambria
Financial Sentiment Analysis: Techniques and Applications. ACM Comput. Surv. 56 (9) (2024)
Shahin Amiriparian, Lukas Christ, Alexander Kathan, Maurice Gerczuk, Niklas Müller, Steffen Klug, Lukas Stappen, Andreas König, Erik Cambria, Björn W. Schuller, Simone Eulitz
The MuSe 2024 Multimodal Sentiment Analysis Challenge: Social Perception and Humor Recognition. CoRR (2024)
Hao Fei, Han Zhang, Bin Wang, Lizi Liao, Qian Liu, Erik Cambria
EmpathyEar: An Open-source Avatar Multimodal Empathetic Chatbot. CoRR (2024)
Dazhi Jiang, Hao Liu, Geng Tu, Runguo Wei, Erik Cambria
Self-supervised utterance order prediction for emotion recognition in conversations. Neurocomputing 577 (2024)
Erik Cambria, Balázs Gulyás, Joyce S. Pang, Nigel V. Marsh, Mythily Subramaniam
Explainable AI for Stress and Depression Detection in the Cyberspace and Beyond. PAKDD (Workshops) (2024)
Shivani Kumar, Md. Shad Akhtar, Erik Cambria, Tanmoy Chakraborty
SemEval 2024 - Task 10: Emotion Discovery and Reasoning its Flip in Conversation (EDiReF). CoRR (2024)
Wei Jie Yeo, Ranjan Satapathy, Erik Cambria
Plausible Extractive Rationalization through Semi-Supervised Entailment Signal. CoRR (2024)
Zonglin Yang, Xinya Du, Junxian Li, Jie Zheng, Soujanya Poria, Erik Cambria
Large Language Models for Automated Open-domain Scientific Hypotheses Discovery. ACL (Findings) (2024)
An Quang Tang, Xiuzhen Zhang, Minh Ngoc Dinh, Erik Cambria
Prompted Aspect Key Point Analysis for Quantitative Review Summarization. CoRR (2024)
Geng Tu, Taiyu Niu, Ruifeng Xu, Bin Liang, Erik Cambria
AdaCLF: An Adaptive Curriculum Learning Framework for Emotional Support Conversation. IEEE Intell. Syst. 39 (4) (2024)
Wei Jie Yeo, Teddy Ferdinan, Przemyslaw Kazienko, Ranjan Satapathy, Erik Cambria
Self-training Large Language Models through Knowledge Detection. CoRR (2024)
Zheng Lian, Haiyang Sun, Licai Sun, Zhuofan Wen, Siyuan Zhang, Shun Chen, Hao Gu, Jinming Zhao, Ziyang Ma, Xie Chen, Jiangyan Yi, Rui Liu, Kele Xu, Bin Liu, Erik Cambria, Guoying Zhao, Björn W. Schuller, Jianhua Tao
MER 2024: Semi-Supervised Learning, Noise Robustness, and Open-Vocabulary Multimodal Emotion Recognition. CoRR (2024)
Mohammad Anas, Anam Saiyeda, Shahab Saquib Sohail, Erik Cambria, Amir Hussain
Can Generative AI Models Extract Deeper Sentiments as Compared to Traditional Deep Learning Algorithms? IEEE Intell. Syst. 39 (2) (2024)
Zonglin Yang, Li Dong, Xinya Du, Hao Cheng, Erik Cambria, Xiaodong Liu, Jianfeng Gao, Furu Wei
Language Models as Inductive Reasoners. EACL (1) (2024)
Keane Ong, Rui Mao, Ranjan Satapathy, Ricardo Shirota Filho, Erik Cambria, Johan Sulaeman, Gianmarco Mengaldo
Explainable Natural Language Processing for Corporate Sustainability Analysis. CoRR (2024)
An Tang, Xiuzhen Zhang, Minh Dinh, Erik Cambria
Prompted Aspect Key Point Analysis for Quantitative Review Summarization. ACL (1) (2024)
Fanfan Wang, Heqing Ma, Jianfei Yu, Rui Xia, Erik Cambria
SemEval-2024 Task 3: Multimodal Emotion Cause Analysis in Conversations. CoRR (2024)
Cuc Duong, Vethavikashini Chithrra Raghuram, Amos Lee, Rui Mao, Gianmarco Mengaldo, Erik Cambria
Neurosymbolic AI for Mining Public Opinions about Wildfires. Cogn. Comput. 16 (4) (2024)
Erik Cambria, Lorenzo Malandri, Fabio Mercorio, Navid Nobani, Andrea Seveso
XAI meets LLMs: A Survey of the Relation between Explainable AI and Large Language Models. CoRR (2024)
Przemyslaw Kazienko, Erik Cambria
Toward Responsible Recommender Systems. IEEE Intell. Syst. 39 (3) (2024)
Xiao Wei, Qi Xu, Hang Yu, Qian Liu, Erik Cambria
Through the MUD: A Multi-Defendant Charge Prediction Benchmark with Linked Crime Elements. ACL (1) (2024)
Lukas Christ, Shahin Amiriparian, Alice Baird, Alexander Kathan, Niklas Müller, Steffen Klug, Chris Gagne, Panagiotis Tzirakis, Lukas Stappen, Eva-Maria Meßner, Andreas König, Alan Cowen, Erik Cambria, Björn W. Schuller
The MuSe 2023 Multimodal Sentiment Analysis Challenge: Mimicked Emotions, Cross-Cultural Humour, and Personalisation. MuSe@ACM Multimedia (2023)
Kai He, Rui Mao, Tieliang Gong, Chen Li, Erik Cambria
Meta-Based Self-Training and Re-Weighting for Aspect-Based Sentiment Analysis. IEEE Trans. Affect. Comput. 14 (3) (2023)
Seng-Beng Ho, Zhaoxia Wang, Boon-Kiat Quek, Erik Cambria
Knowledge Representation for Conceptual, Motivational, and Affective Processes in Natural Language Communication. BICS (2023)
Zonglin Yang, Xinya Du, Rui Mao, Jinjie Ni, Erik Cambria
Logical Reasoning over Natural Language as Knowledge Representation: A Survey. CoRR (2023)
Dazhi Jiang, Runguo Wei, Jintao Wen, Geng Tu, Erik Cambria
AutoML-Emo: Automatic Knowledge Selection Using Congruent Effect for Emotion Identification in Conversations. IEEE Trans. Affect. Comput. 14 (3) (2023)
Zhaoxia Wang, Zhenda Hu, Fang Li, Seng-Beng Ho, Erik Cambria
Learning-Based Stock Trending Prediction by Incorporating Technical Indicators and Social Media Sentiment. Cogn. Comput. 15 (3) (2023)
Yu Ma, Rui Mao, Qika Lin, Peng Wu, Erik Cambria
Multi-source aggregated classification for stock price movement prediction. Inf. Fusion 91 (2023)
Qian Liu, Rui Mao, Xiubo Geng, Erik Cambria
Semantic matching in machine reading comprehension: An empirical study. Inf. Process. Manag. 60 (2) (2023)
Mostafa M. Amin, Erik Cambria, Björn W. Schuller
Can ChatGPT's Responses Boost Traditional Natural Language Processing? CoRR (2023)
Ruicheng Liu, Rui Mao, Anh Tuan Luu, Erik Cambria
A brief survey on recent advances in coreference resolution. Artif. Intell. Rev. 56 (12) (2023)
Jinjie Ni, Tom Young, Vlad Pandelea, Fuzhao Xue, Erik Cambria
Recent advances in deep learning based dialogue systems: a systematic survey. Artif. Intell. Rev. 56 (4) (2023)
Xiaoshi Zhong, Erik Cambria
Time expression recognition and normalization: a survey. Artif. Intell. Rev. 56 (9) (2023)
Zonglin Yang, Xinya Du, Junxian Li, Jie Zheng, Soujanya Poria, Erik Cambria
Large Language Models for Automated Open-domain Scientific Hypotheses Discovery. CoRR (2023)
Xulang Zhang, Rui Mao, Erik Cambria
A survey on syntactic processing techniques. Artif. Intell. Rev. 56 (6) (2023)
Lukas Christ, Shahin Amiriparian, Alice Baird, Alexander Kathan, Niklas Müller, Steffen Klug, Chris Gagne, Panagiotis Tzirakis, Eva-Maria Meßner, Andreas König, Alan Cowen, Erik Cambria, Björn W. Schuller
The MuSe 2023 Multimodal Sentiment Analysis Challenge: Mimicked Emotions, Cross-Cultural Humour, and Personalisation. CoRR (2023)
Javier Torregrosa, Sergio D'Antonio-Maceiras, Guillermo Villar-Rodríguez, Amir Hussain, Erik Cambria, David Camacho
A Mixed Approach for Aggressive Political Discourse Analysis on Twitter. Cogn. Comput. 15 (2) (2023)
Mostafa M. Amin, Erik Cambria, Björn W. Schuller
Will Affective Computing Emerge From Foundation Models and General Artificial Intelligence? A First Evaluation of ChatGPT. IEEE Intell. Syst. 38 (2) (2023)
Rui Mao, Xiao Li, Kai He, Mengshi Ge, Erik Cambria
MetaPro Online: A Computational Metaphor Processing Online System. ACL (demo) (2023)
Andrea Nanetti, John Pavlopoulos, Erik Cambria
Sentiment Analysis of Primary Historical Sources. ICDM (Workshops) (2023)
Tan Yue, Rui Mao, Heng Wang, Zonghai Hu, Erik Cambria
KnowleNet: Knowledge fusion network for multimodal sarcasm detection. Inf. Fusion 100 (2023)
Shaoxiong Ji, Tianlin Zhang, Kailai Yang, Sophia Ananiadou, Erik Cambria, Jörg Tiedemann
Domain-specific Continued Pretraining of Language Models for Capturing Long Context in Mental Health. CoRR (2023)
Xulang Zhang, Rui Mao, Kai He, Erik Cambria
Neuro-Symbolic Sentiment Analysis with Dynamic Word Sense Disambiguation. EMNLP (Findings) (2023)
Keane Ong, Wihan van der Heever, Ranjan Satapathy, Gianmarco Mengaldo, Erik Cambria
FinXABSA: Explainable Finance through Aspect-Based Sentiment Analysis. CoRR (2023)
Mauajama Firdaus, Asif Ekbal, Erik Cambria
Multitask learning for multilingual intent detection and slot filling in dialogue systems. Inf. Fusion 91 (2023)
Kelvin Du, Frank Xing, Rui Mao, Erik Cambria
FinSenticNet: A Concept-Level Lexicon for Financial Sentiment Analysis. SSCI (2023)
Jintao Wen, Dazhi Jiang, Geng Tu, Cheng Liu, Erik Cambria
Dynamic interactive multiview memory network for emotion recognition in conversation. Inf. Fusion 91 (2023)
Kai He, Yucheng Huang, Rui Mao, Tieliang Gong, Chen Li, Erik Cambria
Virtual prompt pre-training for prototype-based few-shot relation extraction. Expert Syst. Appl. 213 (Part) (2023)
Jinjie Ni, Yukun Ma, Wen Wang, Qian Chen, Dianwen Ng, Han Lei, Trung Hieu Nguyen, Chong Zhang, Bin Ma, Erik Cambria
Adaptive Knowledge Distillation between Text and Speech Pre-trained Models. CoRR (2023)
Erik Cambria, Rui Mao, Melvin Chen, Zhaoxia Wang, Seng-Beng Ho
Seven Pillars for the Future of Artificial Intelligence. IEEE Intell. Syst. 38 (6) (2023)
Phuong Le-Hong, Erik Cambria
A semantics-aware approach for multilingual natural language inference. Lang. Resour. Evaluation 57 (2) (2023)
Wei Li, Luyao Zhu, Wei Shao, Zonglin Yang, Erik Cambria
Task-Aware Self-Supervised Framework for Dialogue Discourse Parsing. EMNLP (Findings) (2023)
Zhaoxia Wang, Zhenda Hu, Seng-Beng Ho, Erik Cambria, Ah-Hwee Tan
MiMuSA - mimicking human language understanding for fine-grained multi-class sentiment analysis. Neural Comput. Appl. 35 (21) (2023)
Ankita Gandhi, Kinjal Adhvaryu, Soujanya Poria, Erik Cambria, Amir Hussain
Multimodal sentiment analysis: A systematic review of history, datasets, multimodal fusion methods, applications, challenges and future directions. Inf. Fusion 91 (2023)
Ran Zhou, Xin Li, Lidong Bing, Erik Cambria, Chunyan Miao
Improving Self-training for Cross-lingual Named Entity Recognition with Contrastive and Prototype Learning. CoRR (2023)
Mostafa M. Amin, Erik Cambria, Björn W. Schuller
Will Affective Computing Emerge from Foundation Models and General AI? A First Evaluation on ChatGPT. CoRR (2023)
Seham Basabain, Erik Cambria, Khalid Alomar, Amir Hussain
Enhancing Arabic-text feature extraction utilizing label-semantic augmentation in few/zero-shot learning. Expert Syst. J. Knowl. Eng. 40 (8) (2023)
Yang Li, Kangbo Liu, Ranjan Satapathy, Suhang Wang, Erik Cambria
Recent Developments in Recommender Systems: A Survey. CoRR (2023)
Luna Ansari, Shaoxiong Ji, Qian Chen, Erik Cambria
Ensemble Hybrid Learning Methods for Automated Depression Detection. IEEE Trans. Comput. Soc. Syst. 10 (1) (2023)
Erik Cambria
ALLEGET Keynote Remarks: Emerging Topics in Sentiment Analysis. Intelligent Environments (Workshops) (2023)
Amirhossein Aminimehr, Amirali Molaei, Erik Cambria
EnTri: Ensemble Learning with Tri-level Representations for Explainable Scene Recognition. CoRR (2023)
Mohammad Al-Smadi, Mahmoud M. Hammad, Sa'ad A. Al-Zboon, Saja AL-Tawalbeh, Erik Cambria
Gated recurrent unit with multilingual universal sentence encoder for Arabic aspect-based sentiment analysis. Knowl. Based Syst. 261 (2023)
Zheng Leitter, Erik Cambria
Non-Fungible Tokens: What Makes Them Valuable? ICDM (Workshops) (2023)
Kelvin Du, Frank Xing, Erik Cambria
Incorporating Multiple Knowledge Sources for Targeted Aspect-based Financial Sentiment Analysis. ACM Trans. Manag. Inf. Syst. 14 (3) (2023)
Xiaoshi Zhong, Xiang Yu, Erik Cambria, Jagath C. Rajapakse
Marshall-Olkin power-law distributions in length-frequency of entities. Knowl. Based Syst. 279 (2023)
Rui Mao, Guanyi Chen, Xulang Zhang, Frank Guerin, Erik Cambria
GPTEval: A Survey on Assessments of ChatGPT and GPT-4. CoRR (2023)
Mengshi Ge, Rui Mao, Erik Cambria
A survey on computational metaphor processing techniques: from identification, interpretation, generation to application. Artif. Intell. Rev. 56 (S2) (2023)
Shaoxiong Ji, Tianlin Zhang, Kailai Yang, Sophia Ananiadou, Erik Cambria
Rethinking Large Language Models in Mental Health Applications. CoRR (2023)
Siddique Latif, Heriberto Cuayáhuitl, Farrukh Pervez, Fahad Shamshad, Hafiz Shehbaz Ali, Erik Cambria
A survey on deep reinforcement learning for audio-based applications. Artif. Intell. Rev. 56 (3) (2023)
Ruicheng Liu, Guanyi Chen, Rui Mao, Erik Cambria
A Multi-task Learning Model for Gold-two-mention Co-reference Resolution. IJCNN (2023)
Qika Lin, Jun Liu, Rui Mao, Fangzhi Xu, Erik Cambria
TECHS: Temporal Logical Graph Networks for Explainable Extrapolation Reasoning. ACL (1) (2023)
Amirhossein Aminimehr, Pouya Khani, Amirali Molaei, Amirmohammad Kazemeini, Erik Cambria
TbExplain: A Text-based Explanation Method for Scene Classification Models with the Statistical Prediction Correction. CoRR (2023)
Rui Mao, Qian Liu, Kai He, Wei Li, Erik Cambria
The Biases of Pre-Trained Language Models: An Empirical Study on Prompt-Based Sentiment Analysis and Emotion Detection. IEEE Trans. Affect. Comput. 14 (3) (2023)
Rui Mao, Kai He, Xulang Zhang, Guanyi Chen, Jinjie Ni, Zonglin Yang, Erik Cambria
A Survey on Semantic Processing Techniques. CoRR (2023)
Erik Cambria, Lorenzo Malandri, Fabio Mercorio, Mario Mezzanzanica, Navid Nobani
A survey on XAI and natural language explanations. Inf. Process. Manag. 60 (1) (2023)
Qika Lin, Rui Mao, Jun Liu, Fangzhi Xu, Erik Cambria
Fusing topology contexts and logical rules in language models for knowledge graph completion. Inf. Fusion 90 (2023)
Wei Jie Yeo, Wihan van der Heever, Rui Mao, Erik Cambria, Ranjan Satapathy, Gianmarco Mengaldo
A Comprehensive Review on Financial Explainable AI. CoRR (2023)
Vlad Pandelea, Edoardo Ragusa, Paolo Gastaldo, Erik Cambria
Selecting Language Models Features VIA Software-Hardware Co-Design. ICASSP (2023)
Zheng Lian, Erik Cambria, Guoying Zhao, Björn W. Schuller, Jianhua Tao
MRAC'23: 1st International Workshop on Multimodal and Responsible Affective Computing. ACM Multimedia (2023)
Frank Xing, Björn W. Schuller, Iti Chaturvedi, Erik Cambria, Amir Hussain
Guest Editorial Neurosymbolic AI for Sentiment Analysis. IEEE Trans. Affect. Comput. 14 (3) (2023)
Kai He, Rui Mao, Qika Lin, Yucheng Ruan, Xiang Lan, Mengling Feng, Erik Cambria
A Survey of Large Language Models for Healthcare: from Data, Technology, and Applications to Accountability and Ethics. CoRR (2023)

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Publication Activity (10 Years)

Top Topics

Top Venues

Erik Cambria