Erik Cambria - researchr alias

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Viewing Publication 1 - 100 from 451

2025

2024

Fusing pairwise modalities for emotion recognition in conversationsChunxiao Fan 0002, Jie Lin, Rui Mao 0010, Erik Cambria. inffus, 106:102306, 2024. [doi]

Understanding Public Perception Towards Weather Disasters Through the Lens of MetaphorRui Mao 0010, Qika Lin, Qiawen Liu, Gianmarco Mengaldo, Erik Cambria. IJCAI 2024: 7394-7402 [doi]

GPTEval: A Survey on Assessments of ChatGPT and GPT-4Rui Mao 0010, Guanyi Chen, Xulang Zhang, Frank Guerin, Erik Cambria. COLING 2024: 7844-7866 [doi]

MetaPro 2.0: Computational Metaphor Processing on the Effectiveness of Anomalous Language ModelingRui Mao 0010, Kai He, Claudia Ong, Qian Liu 0012, Erik Cambria. acl 2014: 9891-9908 [doi]

A survey on semantic processing techniquesRui Mao 0010, Kai He, Xulang Zhang, Guanyi Chen, Jinjie Ni, Zonglin Yang, Erik Cambria. inffus, 101:101988, January 2024. [doi]

Guest Editorial: Cognitive Analysis for Humans and AIRui Mao 0010, Qian Liu 0012, Xiao Li, Erik Cambria, Amir Hussain 0001. cogcom, 16(6):3316-3318, November 2024. [doi]

PrimeNet: A Framework for Commonsense Knowledge Representation and Reasoning Based on Conceptual PrimitivesQian Liu 0012, Sooji Han, Erik Cambria, Yang Li 0055, Kenneth Kwok. cogcom, 16(6):3429-3456, November 2024. [doi]

Disentangled Retrieval and Reasoning for Implicit Question AnsweringQian Liu 0012, Xiubo Geng, Yu Wang, Erik Cambria, Daxin Jiang. tnn, 35(6):7804-7815, June 2024. [doi]

TbExplain: A Text-Based Explanation Method for Scene Classification Models With the Statistical Prediction CorrectionAmirhossein Aminimehr, Pouya Khani, Amirali Molaei, Amirmohammad Kazemeini, Erik Cambria. guide-ai 2024: 54-60 [doi]

The MuSe 2024 Multimodal Sentiment Analysis Challenge: Social Perception and Humor RecognitionShahin Amiriparian, Lukas Christ, Alexander Kathan, Maurice Gerczuk, Niklas Müller, Steffen Klug, Lukas Stappen, Andreas König 0007, Erik Cambria, Björn W. Schuller, Simone Eulitz. muse 2024: 1-9 [doi]

Can Generative AI Models Extract Deeper Sentiments as Compared to Traditional Deep Learning Algorithms?Mohammad Anas, Anam Saiyeda, Shahab Saquib Sohail, Erik Cambria, Amir Hussain 0001. expert, 39(2):5-10, March - April 2024. [doi]

Arabic text classification based on analogical proportionsMyriam Bounhas, Bilel Elayeb, Amina Chouigui, Amir Hussain 0001, Erik Cambria. es, 41(10), October 2024. [doi]

Explainable AI for Stress and Depression Detection in the Cyberspace and BeyondErik Cambria, Balázs Gulyás, Joyce S. Pang, Nigel V. Marsh, Mythily Subramaniam. pakdd 2024: 108-120 [doi]

Barrier Function to Skin Elasticity in Talking HeadIti Chaturvedi, Vlad Pandelea, Erik Cambria, Roy E. Welsch, Bithin Datta. cogcom, 16(6):3405-3416, November 2024. [doi]

Predicting word vectors for microtextIti Chaturvedi, Ranjan Satapathy, Curtis Lynch, Erik Cambria. es, 41(8), August 2024. [doi]

MuSe '24: The 5th Multimodal Sentiment Analysis Challenge and Workshop: Social Perception & HumorLukas Christ, Shahin Amiriparian, Andreas König 0007, Simone Eulitz, Erik Cambria, Björn W. Schuller. muse 2024: 10-11 [doi]

Sentiment Analysis Meets Explainable Artificial Intelligence: A Survey on Explainable Sentiment AnalysisArwa Diwali, Kawther Saeedi, Kia Dashtipour, Mandar Gogate, Erik Cambria, Amir Hussain 0001. taffco, 15(3):837-846, July - September 2024. [doi]

Explainable Stock Price Movement Prediction using Contrastive LearningKelvin Du, Rui Mao 0010, Frank Xing, Erik Cambria. CIKM 2024: 529-537 [doi]

A Dynamic Dual-Graph Neural Network for Stock Price Movement PredictionKelvin Du, Rui Mao 0010, Frank Xing, Erik Cambria. ijcnn 2024: 1-8 [doi]

Financial Sentiment Analysis: Techniques and ApplicationsKelvin Du, Frank Xing, Rui Mao 0010, Erik Cambria. ACM Comput. Surv., 56(9), September 2024. [doi]

Neurosymbolic AI for Mining Public Opinions about WildfiresCuc Duong, Vethavikashini Chithrra Raghuram, Amos Lee, Rui Mao 0010, Gianmarco Mengaldo, Erik Cambria. cogcom, 16(4):1531-1553, July 2024. [doi]

Hate speech detection: A comprehensive review of recent worksAnkita Gandhi, Param Ahir, Kinjal Adhvaryu, Pooja Shah, Ritika Lohiya, Erik Cambria, Soujanya Poria, Amir Hussain 0001. es, 41(8), August 2024. [doi]

Chapter Four - Text-based personality prediction using XLNetAshok Kumar Jayaraman, Gayathri Ananthakrishnan, Tina Esther Trueman, Erik Cambria. ac, 132:49-65, 2024. [doi]

Self-supervised utterance order prediction for emotion recognition in conversationsDazhi Jiang, Hao Liu, Geng Tu, Runguo Wei, Erik Cambria. ijon, 577:127370, 2024. [doi]

Toward Responsible Recommender SystemsPrzemyslaw Kazienko, Erik Cambria. expert, 39(3):5-12, May - June 2024. [doi]

SemEval 2024 - Task 10: Emotion Discovery and Reasoning its Flip in Conversation (EDiReF)Shivani Kumar, Md. Shad Akhtar, Erik Cambria, Tanmoy Chakraborty 0002. semeval 2024: 1933-1946 [doi]

Integrating graph embedding and neural models for improving transition-based dependency parsingPhuong Le-Hong, Erik Cambria. nca, 36(6):2999-3016, February 2024. [doi]

MRAC'24 Track 2: 2nd International Workshop on Multimodal and Responsible Affective ComputingZheng Lian, Bin Liu 0041, Rui Liu 0008, Kele Xu, Erik Cambria, Guoying Zhao 0001, Björn W. Schuller, Jianhua Tao 0001. mrac 2024: 39-40 [doi]

Two Heads are Better than One: Zero-shot Cognitive Reasoning via Multi-LLM Knowledge FusionLiang Liu, Dong Zhang, Shoushan Li, Guodong Zhou, Erik Cambria. CIKM 2024: 1462-1472 [doi]

Interest-driven community detection on attributed heterogeneous information networksMengyue Liu, Jun Liu 0002, Yixiang Dong, Rui Mao 0010, Erik Cambria. inffus, 111:102525, 2024. [doi]

PanoSent: A Panoptic Sextuple Extraction Benchmark for Multimodal Conversational Aspect-based Sentiment AnalysisMeng Luo, Hao Fei 0001, Bobo Li, Shengqiong Wu, Qian Liu 0012, Soujanya Poria, Erik Cambria, Mong-Li Lee, Wynne Hsu. mm 2024: 7667-7676 [doi]

Quantitative stock portfolio optimization by multi-task learning risk and returnYu Ma, Rui Mao 0010, Qika Lin, Peng Wu, Erik Cambria. inffus, 104:102165, April 2024. [doi]

Medical Report Generation via Multimodal Spatio-Temporal FusionXin Mei, Rui Mao 0010, Xiaoyan Cai, Libin Yang, Erik Cambria. mm 2024: 4699-4708 [doi]

Prompted Aspect Key Point Analysis for Quantitative Review SummarizationAn Tang, Xiuzhen Zhang 0001, Minh Dinh, Erik Cambria. acl 2024: 10691-10708 [doi]

AdaCLF: An Adaptive Curriculum Learning Framework for Emotional Support ConversationGeng Tu, Taiyu Niu, Ruifeng Xu, Bin Liang, Erik Cambria. expert, 39(4):5-11, July - August 2024. [doi]

Emotion-and-knowledge grounded response generation in an open-domain dialogue settingDeeksha Varshney, Asif Ekbal, Erik Cambria. kbs, 284:111173, 2024. [doi]

SemEval-2024 Task 3: Multimodal Emotion Cause Analysis in ConversationsFanfan Wang, Heqing Ma, Rui Xia, Jianfei Yu, Erik Cambria. semeval 2024: 2039-2050 [doi]

Through the MUD: A Multi-Defendant Charge Prediction Benchmark with Linked Crime ElementsXiao Wei, Qi Xu, Hang Yu, Qian Liu 0012, Erik Cambria. acl 2024: 2864-2878 [doi]

Vanessa: Visual Connotation and Aesthetic Attributes Understanding Network for Multimodal Aspect-based Sentiment AnalysisLuwei Xiao, Rui Mao 0010, Xulang Zhang, Liang He, Erik Cambria. emnlp 2024: 11486-11500 [doi]

Large Language Models for Automated Open-domain Scientific Hypotheses DiscoveryZonglin Yang, Xinya Du, Junxian Li, Jie Zheng, Soujanya Poria, Erik Cambria. acl 2014: 13545-13565 [doi]

Language Models as Inductive ReasonersZonglin Yang, Li Dong 0004, Xinya Du, Hao Cheng 0002, Erik Cambria, Xiaodong Liu 0003, Jianfeng Gao 0001, Furu Wei. eacl 2024: 209-225 [doi]

How Interpretable are Reasoning Explanations from Prompting Large Language Models?Wei Jie Yeo, Ranjan Satapathy, Rich Siow Mong Goh, Erik Cambria. naacl 2024: 2148-2164 [doi]

Plausible Extractive Rationalization through Semi-Supervised Entailment SignalWei Jie Yeo, Ranjan Satapathy, Erik Cambria. acl 2014: 5182-5192 [doi]

Self-training Large Language Models through Knowledge DetectionWei Jie Yeo, Teddy Ferdinan, Przemyslaw Kazienko, Ranjan Satapathy, Erik Cambria. emnlp 2024: 15033-15045 [doi]

Dialogue emotion model based on local-global context encoder and commonsense knowledge fusion attentionWeilun Yu, Chengming Li, Xiping Hu 0001, Wenhua Zhu, Erik Cambria, Dazhi Jiang. mlc, 15(7):2811-2825, July 2024. [doi]

SarcNet: A Multilingual Multimodal Sarcasm Detection DatasetTan Yue, Xuzhao Shi, Rui Mao 0010, Zonghai Hu, Erik Cambria. COLING 2024: 14325-14335 [doi]

SenticVec: Toward Robust and Human-Centric Neurosymbolic Sentiment AnalysisXulang Zhang, Rui Mao 0010, Erik Cambria. acl 2014: 4851-4863 [doi]

Multilingual Emotion Recognition: Discovering the Variations of Lexical Semantics between LanguagesXulang Zhang, Rui Mao 0010, Erik Cambria. ijcnn 2024: 1-9 [doi]

Granular Syntax Processing with Multi-Task and Curriculum LearningXulang Zhang, Rui Mao 0010, Erik Cambria. cogcom, 16(6):3020-3034, November 2024. [doi]

Cross-domain NER with Generated Task-Oriented Knowledge: An Empirical Study from Information Density PerspectiveZhihao Zhang, Sophia Yat Mei Lee, Junshuang Wu, Dong Zhang, Shoushan Li, Erik Cambria, Guodong Zhou. emnlp 2024: 1595-1609 [doi]

XTime: A general rule-based method for time expression recognition and normalizationXiaoshi Zhong, Chenyu Jin, Mengyu An, Erik Cambria. kbs, 297:111921, 2024. [doi]

2023

MiMuSA - mimicking human language understanding for fine-grained multi-class sentiment analysisZhaoxia Wang 0001, Zhenda Hu, Seng-Beng Ho, Erik Cambria, Ah-Hwee Tan. nca, 35(21):15907-15921, July 2023. [doi]

Improving Self-training for Cross-lingual Named Entity Recognition with Contrastive and Prototype LearningRan Zhou 0004, Xin Li 0056, Lidong Bing, Erik Cambria, Chunyan Miao. acl 2023: 4018-4031 [doi]

Discovering the Cognition behind Language: Financial Metaphor Analysis with MetaProRui Mao 0010, Kelvin Du, Yu Ma, Luyao Zhu, Erik Cambria. icdm 2023: 1211-1216 [doi]

Few pixels attacks with generative modelYang Li 0055, Quan Pan 0001, Zhaowen Feng, Erik Cambria. PR, 144:109849, December 2023. [doi]

SKIER: A Symbolic Knowledge Integrated Model for Conversational Emotion RecognitionWei Li 0076, Luyao Zhu, Rui Mao 0010, Erik Cambria. AAAI 2023: 13121-13129 [doi]

Task-Aware Self-Supervised Framework for Dialogue Discourse ParsingWei Li 0076, Luyao Zhu, Wei Shao, Zonglin Yang, Erik Cambria. emnlp 2023: 14162-14173 [doi]

Can ChatGPT's Responses Boost Traditional Natural Language Processing?Mostafa M. Amin, Erik Cambria, Björn W. Schuller. expert, 38(5):5-11, September - October 2023. [doi]

Will Affective Computing Emerge From Foundation Models and General Artificial Intelligence? A First Evaluation of ChatGPTMostafa M. Amin, Erik Cambria, Björn W. Schuller. expert, 38(2):15-23, March - April 2023. [doi]

MuSe 2023 Challenge: Multimodal Prediction of Mimicked Emotions, Cross-Cultural Humour, and Personalised Recognition of AffectsShahin Amiriparian, Lukas Christ, Andreas König 0007, Alan Cowen, Eva-Maria Meßner, Erik Cambria, Björn W. Schuller. mm 2023: 9723-9725 [doi]

Enhancing Arabic-text feature extraction utilizing label-semantic augmentation in few/zero-shot learningSeham Basabain, Erik Cambria, Khalid Alomar, Amir Hussain 0001. es, 40(8), September 2023. [doi]

ALLEGET Keynote Remarks: Emerging Topics in Sentiment AnalysisErik Cambria. intenv 2023: 51-52 [doi]

Seven Pillars for the Future of Artificial IntelligenceErik Cambria, Rui Mao 0010, Melvin Chen, Zhaoxia Wang 0001, Seng-Beng Ho. expert, 38(6):62-69, November - December 2023. [doi]

A survey on XAI and natural language explanationsErik Cambria, Lorenzo Malandri, Fabio Mercorio, Mario Mezzanzanica, Navid Nobani. ipm, 60(1):103111, 2023. [doi]

The MuSe 2023 Multimodal Sentiment Analysis Challenge: Mimicked Emotions, Cross-Cultural Humour, and PersonalisationLukas Christ, Shahin Amiriparian, Alice Baird, Alexander Kathan, Niklas Müller, Steffen Klug, Chris Gagne 0001, Panagiotis Tzirakis, Lukas Stappen, Eva-Maria Meßner, Andreas König 0007, Alan Cowen, Erik Cambria, Björn W. Schuller. musepat 2023: 1-10 [doi]

Survey on sentiment analysis: evolution of research methods and topicsJingfeng Cui, Zhaoxia Wang 0001, Seng-Beng Ho, Erik Cambria. air, 56(8):8469-8510, 2023. [doi]

FinSenticNet: A Concept-Level Lexicon for Financial Sentiment AnalysisKelvin Du, Frank Xing, Rui Mao 0010, Erik Cambria. ssci 2023: 109-114 [doi]

Incorporating Multiple Knowledge Sources for Targeted Aspect-based Financial Sentiment AnalysisKelvin Du, Frank Xing, Erik Cambria. tmis, 14(3), September 2023. [doi]

Multitask learning for multilingual intent detection and slot filling in dialogue systemsMauajama Firdaus, Asif Ekbal, Erik Cambria. inffus, 91:299-315, 2023. [doi]

Multimodal sentiment analysis: A systematic review of history, datasets, multimodal fusion methods, applications, challenges and future directionsAnkita Gandhi, Kinjal Adhvaryu, Soujanya Poria, Erik Cambria, Amir Hussain 0001. inffus, 91:424-444, 2023. [doi]

A survey on computational metaphor processing techniques: from identification, interpretation, generation to applicationMengshi Ge, Rui Mao 0010, Erik Cambria. air, 56(S2):1829-1895, November 2023. [doi]

Virtual prompt pre-training for prototype-based few-shot relation extractionKai He, Yucheng Huang, Rui Mao 0010, Tieliang Gong, Chen Li 0011, Erik Cambria. eswa, 213(Part):118927, 2023. [doi]

Meta-Based Self-Training and Re-Weighting for Aspect-Based Sentiment AnalysisKai He, Rui Mao 0010, Tieliang Gong, Chen Li 0011, Erik Cambria. taffco, 14(3):1731-1742, July - September 2023. [doi]

Knowledge Representation for Conceptual, Motivational, and Affective Processes in Natural Language CommunicationSeng-Beng Ho, Zhaoxia Wang 0001, Boon Kiat Quek, Erik Cambria. bics 2024: 14-30 [doi]

AutoML-Emo: Automatic Knowledge Selection Using Congruent Effect for Emotion Identification in ConversationsDazhi Jiang, Runguo Wei, Jintao Wen, Geng Tu, Erik Cambria. taffco, 14(3):1845-1856, July - September 2023. [doi]

A survey on deep reinforcement learning for audio-based applicationsSiddique Latif, Heriberto Cuayáhuitl, Farrukh Pervez, Fahad Shamshad, Hafiz Shehbaz Ali, Erik Cambria. air, 56(3):2193-2240, March 2023. [doi]

A semantics-aware approach for multilingual natural language inferencePhuong Le-Hong, Erik Cambria. lre, 57(2):611-639, 2023. [doi]

Non-Fungible Tokens: What Makes Them Valuable?Zheng Leitter, Erik Cambria. icdm 2023: 750-756 [doi]

MRAC'23: 1st International Workshop on Multimodal and Responsible Affective ComputingZheng Lian, Erik Cambria, Guoying Zhao 0001, Björn W. Schuller, Jianhua Tao. mm 2023: 9713-9714 [doi]

A Multi-task Learning Model for Gold-two-mention Co-reference ResolutionRuicheng Liu, Guanyi Chen, Rui Mao 0010, Erik Cambria. ijcnn 2023: 1-8 [doi]

A brief survey on recent advances in coreference resolutionRuicheng Liu, Rui Mao 0010, Anh Tuan Luu, Erik Cambria. air, 56(12):14439-14481, December 2023. [doi]

Sentiment Analysis of Primary Historical SourcesAndrea Nanetti, John Pavlopoulos, Erik Cambria. icdm 2023: 767-772 [doi]

Finding the Pillars of Strength for Multi-Head AttentionJinjie Ni, Rui Mao 0010, Zonglin Yang, Han Lei, Erik Cambria. acl 2023: 14526-14540 [doi]

Recent advances in deep learning based dialogue systems: a systematic surveyJinjie Ni, Tom Young, Vlad Pandelea, Fuzhao Xue, Erik Cambria. air, 56(4):3055-3155, April 2023. [doi]

FinXABSA: Explainable Finance through Aspect-Based Sentiment AnalysisKeane Ong, Wihan van der Heever, Ranjan Satapathy, Erik Cambria, Gianmarco Mengaldo. icdm 2023: 773-782 [doi]

Selecting Language Models Features VIA Software-Hardware Co-DesignVlad Pandelea, Edoardo Ragusa, Paolo Gastaldo, Erik Cambria. icassp 2023: 1-5 [doi]

How Can Natural Language Processing and Generative AI Address Grand Challenges of Quantitative User Personas?Joni Salminen, Soon-Gyo Jung, Hind A. Al-Merekhi, Erik Cambria, Bernard J. Jansen. hci 2023: 211-231 [doi]

A Mixed Approach for Aggressive Political Discourse Analysis on TwitterJavier Torregrosa, Sergio D'Antonio-Maceiras, Guillermo Villar-Rodríguez, Amir Hussain 0001, Erik Cambria, David Camacho. cogcom, 15(2):440-465, March 2023. [doi]

MEGACare: Knowledge-guided multi-view hypergraph predictive framework for healthcareJialun Wu, Kai He, Rui Mao 0010, Chen Li 0011, Erik Cambria. inffus, 100:101939, December 2023. [doi]

Guest Editorial Neurosymbolic AI for Sentiment AnalysisFrank Xing, Björn W. Schuller, Iti Chaturvedi, Erik Cambria, Amir Hussain 0001. taffco, 14(3):1711-1715, July - September 2023. [doi]

End-to-end Case-Based Reasoning for Commonsense Knowledge Base CompletionZonglin Yang, Xinya Du, Erik Cambria, Claire Cardie. eacl 2023: 3491-3504 [doi]

A Hotel Ranking Model Through Online Reviews With Aspect-Based Sentiment AnalysisTian-hui You, Ling Ling Tao, Erik Cambria. ijitdm, 22(1):89-113, January 2023. [doi]

Neuro-Symbolic Sentiment Analysis with Dynamic Word Sense DisambiguationXulang Zhang, Rui Mao 0010, Kai He, Erik Cambria. emnlp 2023: 8772-8783 [doi]

A survey on syntactic processing techniquesXulang Zhang, Rui Mao 0010, Erik Cambria. air, 56(6):5645-5728, June 2023. [doi]

Time expression recognition and normalization: a surveyXiaoshi Zhong, Erik Cambria. air, 56(9):9115-9140, September 2023. [doi]

PAED: Zero-Shot Persona Attribute Extraction in DialoguesLuyao Zhu, Wei Li 0076, Rui Mao, Vlad Pandelea, Erik Cambria. acl 2023: 9771-9787 [doi]

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