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Erik Cambria

Publication record assembled from the DBLP archive of ranked conferences.

Papers indexed

202

Venues

35

Active years

2010–2026

Best venue rank

A*

Where they publish

Papers

202 indexed papers, newest first.

YearVenueTitleAuthors
2026AAAIRefleXNet: Targeted Self-Reflection for Accurate Chest X-ray Reporting.Xin Mei, Rui Mao, Xiaoyan Cai, Libin Yang, Erik Cambria
2026AAAIBeyond I'm Sorry, I Can't: Dissecting Large-Language-Model Refusal.Nirmalendu Prakash, Wei Jie Yeo, Amir Abdullah, Ranjan Satapathy, Erik Cambria, Roy Ka-Wei Lee
2026AAAILLMdoctor: Token-Level Flow-Guided Preference Optimization for Efficient Test-Time Alignment of Large Language Models.Tiesunlong Shen, Rui Mao, Jin Wang, Heming Sun, Jian Zhang, Xuejie Zhang, Erik Cambria
2026AAAIMAPS: Multi-Agent Personality Shaping for Collaborative Reasoning.Jian Zhang, Zhiyuan Wang, Zhangqi Wang, Fangzhi Xu, Qika Lin, Lingling Zhang, Rui Mao, Erik Cambria, Jun Liu
2026AAAIMARS: Multi-Agent Adaptive Reasoning with Socratic Guidance for Automated Prompt Optimization.Jian Zhang, Zhangqi Wang, Haiping Zhu, Kangda Cheng, Kai He, Bo Li, Qika Lin, Jun Liu, Erik Cambria
2026ACLIRIS: Interleaved Reinforcement with Incremental Staged Curriculum for Cross-Lingual Mathematical Reasoning.Navya Gupta, Rishitej Reddy Vyalla, Avinash Anand, Chhavi Kirtani, Erik Cambria, Zhengchen Zhang, Zhengkui Wang, Timothy Liu, Aik Beng Ng, Simon See, Rajiv Ratn Shah
2026ACLBetter and Worse with Scale: How Contextual Entrainment Diverges with Model Size.Dikshant Kukreja, Kshitij Sah, Gautam Gupta, Avinash Anand, Rajiv Ratn Shah, Zhengkui Wang, Aik Beng Ng, Erik Cambria
2026ACLLexGenius: An Expert-Level Benchmark for Large Language Models in Legal General Intelligence.Wenjin Liu, Haoran Luo, Xin Feng, Xiang Ji, Lijuan Zhou, Rui Mao, Jiapu Wang, Shirui Pan, Erik Cambria
2026ACLPrompt-R1: Collaborative Automatic Prompting Framework via End-to-end Reinforcement Learning.Wenjin Liu, Haoran Luo, Xueyuan Lin, Haoming Liu, Tiesunlong Shen, Jiapu Wang, Rui Mao, Erik Cambria
2026ACLResearchBench: Benchmarking LLMs in Scientific Discovery via Inspiration-Based Task Decomposition.Yujie Liu, Zonglin Yang, Tong Xie, Jinjie Ni, Ben Gao, Yuqiang Li, Shixiang Tang, Wanli Ouyang, Erik Cambria, Dongzhan Zhou
2026ACLSEA-BED: How Do Embedding Models Represent Southeast Asian Languages?Wuttikorn Ponwitayarat, Peerat Limkonchotiwat, Raymond Ng, Jann Railey Montalan, Thura Aung, Jian Gang Ngui, Yosephine Susanto, William-Chandra Tjhi, Panuthep Tasawong, Erik Cambria, Ekapol Chuangsuwanich, Sarana Nutanong
2026LRECThe Evolution of Philosophy: A Metaphorical Cognition Perspective.Rui Mao, Dapeng Chen, Zihao Huang, Xulang Zhang, Erik Cambria
2026LRECMapping Liberty Metaphors across Cultures and Time.Sidney Suen, Rui Mao, Kenneth Kwok, Erik Cambria
2026LRECEvaluating Multimodal Large Language Model Narrative Interpretation through the Lens of Appraisal Theory.Jayant Teotia, Xiaowei Wang, Xulang Zhang, Rui Mao, Erik Cambria
2026LRECAppraisal Theory-Informed Emotion Prediction.Xiaowei Wang, Jayant Teotia, Rui Mao, Wandeep Kaur Ratan Singh, Sabrina Binti Tiun, Erik Cambria
2026LRECImplicit Bias in Peer Review: Through the Lens of Language Abstraction.Xulang Zhang, Rui Mao, Erik Cambria
2026PAKDDAI Adoption Phases in Business Intelligence: From Outsourcing to Human-Centered Systems.Erik Cambria, Rui Mao, Frank Xing, Gianmarco Mengaldo
2025ACLTowards Robust ESG Analysis Against Greenwashing Risks: Aspect-Action Analysis with Cross-Category Generalization.Keane Ong, Rui Mao, Deeksha Varshney, Erik Cambria, Gianmarco Mengaldo
2025ACLA Comprehensive Graph Framework for Question Answering with Mode-Seeking Preference Alignment.Quanwei Tang, Sophia Yat Mei Lee, Junshuang Wu, Dong Zhang, Shoushan Li, Erik Cambria, Guodong Zhou
2025CogSciDecoding Metaphors and Brain Signals in Naturalistic Contexts: An Empirical Study based on EEG and MetaPro.Rui Mao, Tao Wang, Erik Cambria
2025CogSciCognitive Mechanisms in Loan Marketing: Insights from Concept Mappings.Rui Mao, Tao Wang, Xulang Zhang, Xinlong Li, Erik Cambria
2025COLINGReasoning with Trees: Faithful Question Answering over Knowledge Graph.Tiesunlong Shen, Jin Wang, Xuejie Zhang, Erik Cambria
2025EMNLPDeriving Strategic Market Insights with Large Language Models: A Benchmark for Forward Counterfactual Generation.Keane Ong, Rui Mao, Deeksha Varshney, Paul Pu Liang, Erik Cambria, Gianmarco Mengaldo
2025EMNLPWhen Words Smile: Generating Diverse Emotional Facial Expressions from Text.Haidong Xu, Meishan Zhang, Hao Ju, Zhedong Zheng, Erik Cambria, Min Zhang, Hao Fei
2025EMNLPUnderstanding Refusal in Language Models with Sparse Autoencoders.Wei Jie Yeo, Nirmalendu Prakash, Clement Neo, Ranjan Satapathy, Roy Ka-Wei Lee, Erik Cambria
2025EMNLPTowards Faithful Natural Language Explanations: A Study Using Activation Patching in Large Language Models.Wei Jie Yeo, Ranjan Satapathy, Erik Cambria
2025ICASSPHop-level Direct Preference Optimization for Knowledge Graph Reasoning with Trees.Tiesunlong Shen, Jin Wang, Xuejie Zhang, Erik Cambria
2025ICDMNMRet: A Memory-Augmented Retrieval Framework for Large Language Models.Sachin Bhat, Erik Cambria, Haibo Pen
2025ICDMCombining LLM-Generated Knowledge Graphs with RAG for Financial Sentiment Extraction.Zihao Huang, Kelvin Du, Xulang Zhang, Rui Mao, Erik Cambria
2025ICDMNeurosymbolic AI for Mining Public Opinions on Generative AI's Role in Firm Efficiency.Sadat Reza, Ben Choi, Kumaran Rajaram, Erik Cambria
2025ICDMMulti-Layered Prompting of Small Language Models for Twitter Sentiment Analysis.Sidney Suen, Ranjan Satapathy, Kenneth Kwok, Erik Cambria
2025ICLRMOOSE-Chem: Large Language Models for Rediscovering Unseen Chemistry Scientific Hypotheses.Zonglin Yang, Wanhao Liu, Ben Gao, Tong Xie, Yuqiang Li, Wanli Ouyang, Soujanya Poria, Erik Cambria, Dongzhan Zhou
2025IJCNLPSEA-LION: Southeast Asian Languages in One Network.Raymond Ng, Thanh Ngan Nguyen, Yuli Huang, Ngee Chia Tai, Wai Yi Leong, Wei Qi Leong, Xianbin Yong, Jian Gang Ngui, Yosephine Susanto, Nicholas Cheng, Hamsawardhini Rengarajan, Peerat Limkonchotiwat, Adithya Venkatadri Hulagadri, Kok Wai Teng, Yeo Yeow Tong, Bryan Siow, Wei Yi Teo, Choon Meng Tan, Brandon Ong, Zhi Hao Ong, Jann Railey Montalan, Adwin Chan, Sajeban Antonyrex, Ren Lee, Esther Choa, David Ong Tat-Wee, Bing Jie Darius Liu, William-Chandra Tjhi, Erik Cambria, Leslie Teo
2025IJCNNAre Horses Always Strong and Donkeys Dumb? Animal Bias in Vision Language Models.Mohammad Anas, Mohammad Nadeem, Shahab Saquib Sohail, Erik Cambria, Amir Hussain
2025NAACLThe Plagiarism Singularity Conjecture.Sriram Ranga, Rui Mao, Erik Cambria, Anupam Chattopadhyay
2025PAKDDOwls are Wise and Foxes are Unfaithful: Uncovering Animal Stereotypes in Vision Language Models.Tabinda Aman, Mohammad Nadeem, Shahab Saquib Sohail, Mohammad Anas, Erik Cambria
2025PAKDDEvaluating the Impact of LLM-Manipulated Content on Fake News Detection.Donghao Huang, Darius Ng, Zhaoxia Wang, Haibo Pen, Erik Cambria
2025PAKDDLarge Language Models for Logical Fallacy Detection.Nicole Teo, Donghao Huang, Erik Cambria, Zhaoxia Wang
2025WWWSupportPlay: A Multi-Agent Role-Playing System for Personalized and Sustained Multimodal Emotional Support Conversation.Geng Tu, Bingbing Wang, Erik Cambria, Wenjie Li, Ruifeng Xu
2025WWWTowards Multimodal Empathetic Response Generation: A Rich Text-Speech-Vision Avatar-based Benchmark.Han Zhang, Zixiang Meng, Meng Luo, Hong Han, Lizi Liao, Erik Cambria, Hao Fei
2025SACSelf-explanatory and Retrieval-augmented LLMs for Financial Sentiment Analysis.Filippo Pallucchini, Xulang Zhang, Rui Mao, Erik Cambria
2025SIGIRFlow-guided Direct Preference Optimization for Knowledge Graph Reasoning with Trees.Tiesunlong Shen, Rui Mao, Jin Wang, Xuejie Zhang, Erik Cambria
2024ACLEmpathyEar: An Open-source Avatar Multimodal Empathetic Chatbot.Hao Fei, Han Zhang, Bin Wang, Lizi Liao, Qian Liu, Erik Cambria
2024ACLMetaPro 2.0: Computational Metaphor Processing on the Effectiveness of Anomalous Language Modeling.Rui Mao, Kai He, Claudia Ong, Qian Liu, Erik Cambria
2024ACLPrompted Aspect Key Point Analysis for Quantitative Review Summarization.An Quang Tang, Xiuzhen Zhang, Minh Ngoc Dinh, Erik Cambria
2024ACLThrough the MUD: A Multi-Defendant Charge Prediction Benchmark with Linked Crime Elements.Xiao Wei, Qi Xu, Hang Yu, Qian Liu, Erik Cambria
2024ACLLarge Language Models for Automated Open-domain Scientific Hypotheses Discovery.Zonglin Yang, Xinya Du, Junxian Li, Jie Zheng, Soujanya Poria, Erik Cambria
2024ACLPlausible Extractive Rationalization through Semi-Supervised Entailment Signal.Wei Jie Yeo, Ranjan Satapathy, Erik Cambria
2024ACLSenticVec: Toward Robust and Human-Centric Neurosymbolic Sentiment Analysis.Xulang Zhang, Rui Mao, Erik Cambria
2024CIKMExplainable Stock Price Movement Prediction using Contrastive Learning.Kelvin Du, Rui Mao, Frank Xing, Erik Cambria
2024CIKMTwo Heads are Better than One: Zero-shot Cognitive Reasoning via Multi-LLM Knowledge Fusion.Liang Liu, Dong Zhang, Shoushan Li, Guodong Zhou, Erik Cambria
2024CogSciUnveiling Diplomatic Narratives: Analyzing United Nations Security Council Debates Through Metaphorical Cognition.Rui Mao, Tianwei Zhang, Qian Liu, Amir Hussain, Erik Cambria
2024COLINGGPTEval: A Survey on Assessments of ChatGPT and GPT-4.Rui Mao, Guanyi Chen, Xulang Zhang, Frank Guerin, Erik Cambria
2024COLINGSarcNet: A Multilingual Multimodal Sarcasm Detection Dataset.Tan Yue, Xuzhao Shi, Rui Mao, Zonghai Hu, Erik Cambria
2024EACLLanguage Models as Inductive Reasoners.Zonglin Yang, Li Dong, Xinya Du, Hao Cheng, Erik Cambria, Xiaodong Liu, Jianfeng Gao, Furu Wei
2024EMNLPVanessa: Visual Connotation and Aesthetic Attributes Understanding Network for Multimodal Aspect-based Sentiment Analysis.Luwei Xiao, Rui Mao, Xulang Zhang, Liang He, Erik Cambria
2024EMNLPSelf-training Large Language Models through Knowledge Detection.Wei Jie Yeo, Teddy Ferdinan, Przemyslaw Kazienko, Ranjan Satapathy, Erik Cambria
2024EMNLPCross-domain NER with Generated Task-Oriented Knowledge: An Empirical Study from Information Density Perspective.Zhihao Zhang, Sophia Yat Mei Lee, Junshuang Wu, Dong Zhang, Shoushan Li, Erik Cambria, Guodong Zhou
2024HCISenticNet 8: Fusing Emotion AI and Commonsense AI for Interpretable, Trustworthy, and Explainable Affective Computing.Erik Cambria, Xulang Zhang, Rui Mao, Melvin Chen, Kenneth Kwok
2024HCINeurosymbolic AI for Personalized Sentiment Analysis.Luyao Zhu, Rui Mao, Erik Cambria, Bernard J. Jansen
2024ICDMMultilingual Sentiment Analysis for Investigating Perceptions of Globalization.Anagha Ani, Erik Cambria
2024ICDMNeurosymbolic AI for Mining Key Aspects of Socially Responsible Investing.Wihan van der Heever, Ranjan Satapathy, Erik Cambria, Rick Siow Mong Goh
2024ICDMSentiment Analysis on Climate Change for Sustainable Investment.Keane Ong, Rui Mao, Deeksha Varshney, Ranjan Satapathy, Erik Cambria, Gianmarco Mengaldo
2024ICDMEvaluating Vision Language Models in Detecting Learning Engagement.Jayant Teotia, Xulang Zhang, Rui Mao, Erik Cambria
2024ICDMUnderstanding the Hidden State of Language Models from the Perspective of Sentiment Analysis.Kaicheng Xue, Xulang Zhang, Rui Mao, Erik Cambria
2024IJCAIUnderstanding Public Perception Towards Weather Disasters Through the Lens of Metaphor.Rui Mao, Qika Lin, Qiawen Liu, Gianmarco Mengaldo, Erik Cambria
2024IJCNNA Dynamic Dual-Graph Neural Network for Stock Price Movement Prediction.Kelvin Du, Rui Mao, Frank Xing, Erik Cambria
2024IJCNNMultilingual Emotion Recognition: Discovering the Variations of Lexical Semantics between Languages.Xulang Zhang, Rui Mao, Erik Cambria
2024NAACLHow Interpretable are Reasoning Explanations from Prompting Large Language Models?Wei Jie Yeo, Ranjan Satapathy, Rich Siow Mong Goh, Erik Cambria
2024PAKDDExplainable AI for Stress and Depression Detection in the Cyberspace and Beyond.Erik Cambria, Balzs Gulys, Joyce S. Pang, Nigel V. Marsh, Mythily Subramaniam
2023AAAISKIER: A Symbolic Knowledge Integrated Model for Conversational Emotion Recognition.Wei Li, Luyao Zhu, Rui Mao, Erik Cambria
2023ACLImproving Self-training for Cross-lingual Named Entity Recognition with Contrastive and Prototype Learning.Ran Zhou, Xin Li, Lidong Bing, Erik Cambria, Chunyan Miao
2023ACLMetaPro Online: A Computational Metaphor Processing Online System.Rui Mao, Xiao Li, Kai He, Mengshi Ge, Erik Cambria
2023ACLTECHS: Temporal Logical Graph Networks for Explainable Extrapolation Reasoning.Qika Lin, Jun Liu, Rui Mao, Fangzhi Xu, Erik Cambria
2023ACLFinding the Pillars of Strength for Multi-Head Attention.Jinjie Ni, Rui Mao, Zonglin Yang, Han Lei, Erik Cambria
2023ACLPAED: Zero-Shot Persona Attribute Extraction in Dialogues.Luyao Zhu, Wei Li, Rui Mao, Vlad Pandelea, Erik Cambria
2023EACLEnd-to-end Case-Based Reasoning for Commonsense Knowledge Base Completion.Zonglin Yang, Xinya Du, Erik Cambria, Claire Cardie
2023EMNLPTask-Aware Self-Supervised Framework for Dialogue Discourse Parsing.Wei Li, Luyao Zhu, Wei Shao, Zonglin Yang, Erik Cambria
2023EMNLPNeuro-Symbolic Sentiment Analysis with Dynamic Word Sense Disambiguation.Xulang Zhang, Rui Mao, Kai He, Erik Cambria
2023HCIHow 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
2023ICASSPAdaptive Knowledge Distillation Between Text and Speech Pre-Trained Models.Jinjie Ni, Yukun Ma, Wen Wang, Qian Chen, Dianwen Ng, Han Lei, Trung Hieu Nguyen, Chong Zhang, Bin Ma, Erik Cambria
2023ICASSPSelecting Language Models Features VIA Software-Hardware Co-Design.Vlad Pandelea, Edoardo Ragusa, Paolo Gastaldo, Erik Cambria
2023ICDMDiscovering the Cognition behind Language: Financial Metaphor Analysis with MetaPro.Rui Mao, Kelvin Du, Yu Ma, Luyao Zhu, Erik Cambria
2023ICDMBLM-17m: A Large-Scale Dataset for Black Lives Matter Topic Detection on Twitter.Hasan Kemik, Nusret zates, Meysam Asgari-Chenaghlu, Yang Li, Erik Cambria
2023ICDMNon-Fungible Tokens: What Makes Them Valuable?Zheng Leitter, Erik Cambria
2023ICDMSentiment Analysis of Primary Historical Sources.Andrea Nanetti, John Pavlopoulos, Erik Cambria
2023ICDMFinXABSA: Explainable Finance through Aspect-Based Sentiment Analysis.Keane Ong, Wihan van der Heever, Ranjan Satapathy, Erik Cambria, Gianmarco Mengaldo
2023IJCNNA Multi-task Learning Model for Gold-two-mention Co-reference Resolution.Ruicheng Liu, Guanyi Chen, Rui Mao, Erik Cambria
2022AAAIExplainable Metaphor Identification Inspired by Conceptual Metaphor Theory.Mengshi Ge, Rui Mao, Erik Cambria
2022AAAIHiTKG: Towards Goal-Oriented Conversations via Multi-Hierarchy Learning.Jinjie Ni, Vlad Pandelea, Tom Young, Haicang Zhou, Erik Cambria
2022AAAIFusing Task-Oriented and Open-Domain Dialogues in Conversational Agents.Tom Young, Frank Xing, Vlad Pandelea, Jinjie Ni, Erik Cambria
2022ACLMELM: Data Augmentation with Masked Entity Language Modeling for Low-Resource NER.Ran Zhou, Xin Li, Ruidan He, Lidong Bing, Erik Cambria, Luo Si, Chunyan Miao
2022COLINGHierarchical Attention Network for Explainable Depression Detection on Twitter Aided by Metaphor Concept Mappings.Sooji Han, Rui Mao, Erik Cambria
2022EMNLPConNER: Consistency Training for Cross-lingual Named Entity Recognition.Ran Zhou, Xin Li, Lidong Bing, Erik Cambria, Luo Si, Chunyan Miao
2022ICDMSentic Parser: A Graph-Based Approach to Concept Extraction for Sentiment Analysis.Erik Cambria, Rui Mao, Sooji Han, Qian Liu
2022ICDMMaking Sense of Sentiments for Aesthetic Plastic Surgery.Anand Choudhary, Erik Cambria
2022ICDMStress Identification in Online Social Networks.Ashok Kumar J, Tina Esther Trueman, Erik Cambria
2022ICISDoes Social Media Sentiment Predict Bitcoin Trading Volume?Jayit Saha, Smit Patel, Frank Xing, Erik Cambria
2022IJCNNSaving Earth One Tweet at a Time through the Lens of Artificial Intelligence.Cuc Duong, Qian Liu, Rui Mao, Erik Cambria
2022IJCNNStress Detection from Social Media Articles: New Dataset Benchmark and Analytical Study.Aryan Rastogi, Qian Liu, Erik Cambria
2022LRECSenticNet 7: A Commonsense-based Neurosymbolic AI Framework for Explainable Sentiment Analysis.Erik Cambria, Qian Liu, Sergio Decherchi, Frank Xing, Kenneth Kwok
2022LRECMentalBERT: Publicly Available Pretrained Language Models for Mental Healthcare.Shaoxiong Ji, Tianlin Zhang, Luna Ansari, Jie Fu, Prayag Tiwari, Erik Cambria
2020CECGenetic Programming for Domain Adaptation in Product Reviews.Iti Chaturvedi, Erik Cambria, Sandro Cavallari, Roy E. Welsch
2020CIKMSenticNet 6: Ensemble Application of Symbolic and Subsymbolic AI for Sentiment Analysis.Erik Cambria, Yang Li, Frank Z. Xing, Soujanya Poria, Kenneth Kwok
2020COLINGFinancial Sentiment Analysis: An Investigation into Common Mistakes and Silver Bullets.Frank Z. Xing, Lorenzo Malandri, Yue Zhang, Erik Cambria
2020ICDMOne Belt, One Road, One Sentiment? A Hybrid Approach to Gauging Public Opinions on the New Silk Road Initiative.Jonathan Kevin Chandra, Erik Cambria, Andrea Nanetti
2020ICDMCOAL: Convolutional Online Adaptation Learning for Opinion Mining.Iti Chaturvedi, Edoardo Ragusa, Paolo Gastaldo, Erik Cambria
2020ICDMBottom-Up and Top-Down: Predicting Personality with Psycholinguistic and Language Model Features.Yash Mehta, Samin Fatehi, Amirmohammad Kazameini, Clemens Stachl, Erik Cambria, Sauleh Eetemadi
2020IJCNNNew Avenues in Mobile Tourism.Claudia Guerreiro, Erik Cambria, Hien T. Nguyen
2020IJCNNDeciphering Public Opinion of Nuclear Energy on Twitter.Aparup Khatua, Erik Cambria, Shirley S. Ho, Jin-Cheon Na
2019AAAIDialogueRNN: An Attentive RNN for Emotion Detection in Conversations.Navonil Majumder, Soujanya Poria, Devamanyu Hazarika, Rada Mihalcea, Alexander F. Gelbukh, Erik Cambria
2019ACLMELD: A Multimodal Multi-Party Dataset for Emotion Recognition in Conversations.Soujanya Poria, Devamanyu Hazarika, Navonil Majumder, Gautam Naik, Erik Cambria, Rada Mihalcea
2019ACLTowards Scalable and Reliable Capsule Networks for Challenging NLP Applications.Wei Zhao, Haiyun Peng, Steffen Eger, Erik Cambria, Min Yang
2019CICLINGSentiment Analysis of Influential Messages for Political Election Forecasting.Oumayma Oueslati, Moez Ben Haj Hmida, Habib Ounelli, Erik Cambria
2019CICLINGFusing Phonetic Features and Chinese Character Representation for Sentiment Analysis.Haiyun Peng, Soujanya Poria, Yang Li, Erik Cambria
2019CICLINGMicrotext Normalization for Chatbots.Ranjan Satapathy, Erik Cambria, Nadia Magnenat-Thalmann
2019COMADTweeting in Support of LGBT?: A Deep Learning Approach.Aparup Khatua, Erik Cambria, Kuntal Ghosh, Nabendu Chaki, Apalak Khatua
2019ICDMUnderstanding the Role of Social Media in Backpacker Tourism.Claudia Guerreiro, Erik Cambria, Hien T. Nguyen
2019IJCNNAn Attention-Based Model for Learning Dynamic Interaction Networks.Sandro Cavallari, Soujanya Poria, Erik Cambria, Vincent W. Zheng, Hongyun Cai
2019IJCNNEnsemble Application of Transfer Learning and Sample Weighting for Stock Market Prediction.Simone Merello, Andrea Picasso Ratto, Luca Oneto, Erik Cambria
2019IJCNNSeq2Seq Deep Learning Models for Microtext Normalization.Ranjan Satapathy, Yang Li, Sandro Cavallari, Erik Cambria
2019RO-MANCan a Humanoid Robot be part of the Organizational Workforce? A User Study Leveraging Sentiment Analysis.Nidhi Mishra, Manoj Ramanathan, Ranjan Satapathy, Erik Cambria, Nadia Magnenat-Thalmann
2018AAAISenticNet 5: Discovering Conceptual Primitives for Sentiment Analysis by Means of Context Embeddings.Erik Cambria, Soujanya Poria, Devamanyu Hazarika, Kenneth Kwok
2018AAAITargeted Aspect-Based Sentiment Analysis via Embedding Commonsense Knowledge into an Attentive LSTM.Yukun Ma, Haiyun Peng, Erik Cambria
2018AAAIAugmenting End-to-End Dialogue Systems With Commonsense Knowledge.Tom Young, Erik Cambria, Iti Chaturvedi, Hao Zhou, Subham Biswas, Minlie Huang
2018AAAIMemory Fusion Network for Multi-view Sequential Learning.Amir Zadeh, Paul Pu Liang, Navonil Mazumder, Soujanya Poria, Erik Cambria, Louis-Philippe Morency
2018AAAIMulti-attention Recurrent Network for Human Communication Comprehension.Amir Zadeh, Paul Pu Liang, Soujanya Poria, Prateek Vij, Erik Cambria, Louis-Philippe Morency
2018ACLMultimodal Language Analysis in the Wild: CMU-MOSEI Dataset and Interpretable Dynamic Fusion Graph.Amir Zadeh, Paul Pu Liang, Soujanya Poria, Erik Cambria, Louis-Philippe Morency
2018CICLINGAspect-Sentiment Embeddings for Company Profiling and Employee Opinion Mining.Rajiv Bajpai, Devamanyu Hazarika, Kunal Singh, Sruthi Gorantla, Erik Cambria, Roger Zimmermann
2018CICLINGText-Image Sentiment Analysis.Qian Chen, Edoardo Ragusa, Iti Chaturvedi, Erik Cambria, Rodolfo Zunino
2018CICLINGA Deep Learning Approach for Multimodal Deception Detection.Gangeshwar Krishnamurthy, Navonil Majumder, Soujanya Poria, Erik Cambria
2018COLINGCASCADE: Contextual Sarcasm Detection in Online Discussion Forums.Devamanyu Hazarika, Soujanya Poria, Sruthi Gorantla, Erik Cambria, Roger Zimmermann, Rada Mihalcea
2018EMNLPICON: Interactive Conversational Memory Network for Multimodal Emotion Detection.Devamanyu Hazarika, Soujanya Poria, Rada Mihalcea, Erik Cambria, Roger Zimmermann
2018EMNLPIARM: Inter-Aspect Relation Modeling with Memory Networks in Aspect-Based Sentiment Analysis.Navonil Majumder, Soujanya Poria, Alexander F. Gelbukh, Md. Shad Akhtar, Erik Cambria, Asif Ekbal
2018ICDMSemantically Enhanced Models for Commonsense Knowledge Acquisition.Ikhlas Alhussien, Erik Cambria, Zhang NengSheng
2018ICDMInvestigating Timing and Impact of News on the Stock Market.Simone Merello, Andrea Picasso Ratto, Yukun Ma, Luca Oneto, Erik Cambria
2018NAACLModeling Inter-Aspect Dependencies for Aspect-Based Sentiment Analysis.Devamanyu Hazarika, Soujanya Poria, Prateek Vij, Gangeshwar Krishnamurthy, Erik Cambria, Roger Zimmermann
2018NAACLConversational Memory Network for Emotion Recognition in Dyadic Dialogue Videos.Devamanyu Hazarika, Soujanya Poria, Amir Zadeh, Erik Cambria, Louis-Philippe Morency, Roger Zimmermann
2018WWWTime Expression Recognition Using a Constituent-based Tagging Scheme.Xiaoshi Zhong, Erik Cambria
2017ACLContext-Dependent Sentiment Analysis in User-Generated Videos.Soujanya Poria, Erik Cambria, Devamanyu Hazarika, Navonil Majumder, Amir Zadeh, Louis-Philippe Morency
2017ACLTime Expression Analysis and Recognition Using Syntactic Token Types and General Heuristic Rules.Xiaoshi Zhong, Aixin Sun, Erik Cambria
2017CICLINGBenchmarking Multimodal Sentiment Analysis.Erik Cambria, Devamanyu Hazarika, Soujanya Poria, Amir Hussain, R. B. V. Subramanyam
2017CICLINGASR Hypothesis Reranking Using Prior-Informed Restricted Boltzmann Machine.Yukun Ma, Erik Cambria, Benjamin Bigot
2017CICLINGCSenticNet: A Concept-Level Resource for Sentiment Analysis in Chinese Language.Haiyun Peng, Erik Cambria
2017CICLINGEfficient Semantic Search Over Structured Web Data: A GPU Approach.Ha Nguyen Tran, Erik Cambria, Hoang Giang Do
2017CICLINGClassifying World Englishes from a Lexical Perspective: A Corpus-Based Approach.Frank Z. Xing, Danyuan Ho, Diyana Hamzah, Erik Cambria
2017CIKMLearning Community Embedding with Community Detection and Node Embedding on Graphs.Sandro Cavallari, Vincent W. Zheng, Hongyun Cai, Kevin Chen-Chuan Chang, Erik Cambria
2017CSCWOpen Secrets and Wrong Rights: Automatic Satire Detection in English Text.Aishwarya N. Reganti, Tushar Maheshwari, Amitava Das, Erik Cambria
2017EMNLPTensor Fusion Network for Multimodal Sentiment Analysis.Amir Zadeh, Minghai Chen, Soujanya Poria, Erik Cambria, Louis-Philippe Morency
2017FlAIRSLearning Word Vectors in Deep Walk using Convolution.Iti Chaturvedi, Erik Cambria, Sandro Cavallari, Vincent Wenchen Zheng
2017FlAIRS"Hang In There: " Lexical and Visual Analysis to Identify Posts Warranting Empathetic Responses.Mimansa Jaiswal, Sairam Tabibu, Erik Cambria
2017FlAIRSMediConceptNet: An Affinity Score Based Medical Concept Network.Anupam Mondal, Erik Cambria, Dipankar Das, Sivaji Bandyopadhyay
2017FlAIRSRadical-Based Hierarchical Embeddings for Chinese Sentiment Analysis at Sentence Level.Haiyun Peng, Erik Cambria, Xiaomei Zou
2017FlAIRSTracing Linguistic Relations in Winning and Losing Sides of Explicit Opposing Groups.Ceyda Sanli, Anupam Mondal, Erik Cambria
2017ICDMLet's Chat about Brexit! A Politically-Sensitive Dialog System Based on Twitter Data.Aparup Khatua, Erik Cambria, Apalak Khatua, Iti Chaturvedi
2017ICDMMulti-level Multiple Attentions for Contextual Multimodal Sentiment Analysis.Soujanya Poria, Erik Cambria, Devamanyu Hazarika, Navonil Majumder, Amir Zadeh, Louis-Philippe Morency
2017ICDMPhonetic-Based Microtext Normalization for Twitter Sentiment Analysis.Ranjan Satapathy, Claudia Guerreiro, Iti Chaturvedi, Erik Cambria
2017IJCNNEnsemble application of convolutional and recurrent neural networks for multi-label text categorization.Guibin Chen, Deheng Ye, Zhenchang Xing, Jieshan Chen, Erik Cambria
2017IJCNNPredicting evolving chaotic time series with fuzzy neural networks.Frank Z. Xing, Erik Cambria, Xiaomei Zou
2017SMCAdaptive two-stage feature selection for sentiment classification.Chi Xu, Puay Siew Tan, Erik Cambria
2016CICLINGDeveloping a Concept-Level Knowledge Base for Sentiment Analysis in Singlish.Rajiv Bajpai, Danyuan Ho, Erik Cambria
2016CICLINGGpSense: A GPU-Friendly Method for Commonsense Subgraph Matching in Massively Parallel Architectures.Ha Nguyen Tran, Erik Cambria
2016COLINGSenticNet 4: A Semantic Resource for Sentiment Analysis Based on Conceptual Primitives.Erik Cambria, Soujanya Poria, Rajiv Bajpai, Bjrn W. Schuller
2016COLINGLabel Embedding for Zero-shot Fine-grained Named Entity Typing.Yukun Ma, Erik Cambria, Sa Gao
2016COLINGA Deeper Look into Sarcastic Tweets Using Deep Convolutional Neural Networks.Soujanya Poria, Erik Cambria, Devamanyu Hazarika, Prateek Vij
2016FlAIRSGECKA3D: A 3D Game Engine for Commonsense Knowledge Acquisition.Erik Cambria, Tam V. Nguyen, Brian Cheng, Kenneth Kwok, Jose Sepulveda
2016ICDMBayesian Deep Convolution Belief Networks for Subjectivity Detection.Iti Chaturvedi, Erik Cambria, Soujanya Poria, Rajiv Bajpai
2016ICDMConvolutional MKL Based Multimodal Emotion Recognition and Sentiment Analysis.Soujanya Poria, Iti Chaturvedi, Erik Cambria, Amir Hussain
2016ICIPWeakly supervised semantic segmentation with superpixel embedding.Frank Z. Xing, Erik Cambria, Win-Bin Huang, Yang Xu
2016IJCNNLyapunov filtering of objectivity for Spanish Sentiment Model.Iti Chaturvedi, Erik Cambria, David Vilares
2016IJCNNSentic LDA: Improving on LDA with semantic similarity for aspect-based sentiment analysis.Soujanya Poria, Iti Chaturvedi, Erik Cambria, Federica Bisio
2015AAAIAffectiveSpace 2: Enabling Affective Intuition for Concept-Level Sentiment Analysis.Erik Cambria, Jie Fu, Federica Bisio, Soujanya Poria
2015CICLINGThe CLSA Model: A Novel Framework for Concept-Level Sentiment Analysis.Erik Cambria, Soujanya Poria, Federica Bisio, Rajiv Bajpai, Iti Chaturvedi
2015CICLINGModelling Public Sentiment in Twitter: Using Linguistic Patterns to Enhance Supervised Learning.Prerna Chikersal, Soujanya Poria, Erik Cambria, Alexander F. Gelbukh, Chng Eng Siong
2015EMNLPDeep Convolutional Neural Network Textual Features and Multiple Kernel Learning for Utterance-level Multimodal Sentiment Analysis.Soujanya Poria, Erik Cambria, Alexander F. Gelbukh
2015FlAIRSSemantic Outlier Detection for Affective Common-Sense Reasoning and Concept-Level Sentiment Analysis.Erik Cambria, Giuseppe Melfi
2015FlAIRSGECKA: Game Engine for Commonsense Knowledge Acquisition.Erik Cambria, Dheeraj Rajagopal, Kenneth Kwok, Jose Sepulveda
2015FlAIRSDiscriminative Bi-Term Topic Model for Headline-Based Social News Clustering.Yunqing Xia, Nan Tang, Amir Hussain, Erik Cambria
2015IJCAIFeature Ensemble Plus Sample Selection: Domain Adaptation for Sentiment Classification (Extended Abstract).Rui Xia, Chengqing Zong, Xuelei Hu, Erik Cambria
2015IJCNNA learning scheme based on similarity functions for affective common-sense reasoning.Federica Bisio, Paolo Gastaldo, Rodolfo Zunino, Erik Cambria
2014AAAISenticNet 3: A Common and Common-Sense Knowledge Base for Cognition-Driven Sentiment Analysis.Erik Cambria, Daniel Olsher, Dheeraj Rajagopal
2014FlAIRSCommon and Common-Sense Knowledge Integration for Concept-Level Sentiment Analysis.Erik Cambria, Newton Howard
2014ICAARTUsing Word Sense as a Latent Variable in LDA Can Improve Topic Modeling.Yunqing Xia, Guoyu Tang, Huan Zhao, Erik Cambria, Thomas Fang Zheng
2014ICDMCommonsense Knowledge as the Glue in a Hybrid Model of Computational Creativity.Andrs Gmez de Silva Garza, Erik Cambria, Rafael Prez y Prez
2014ICDMA Localization Toolkit for Sentic Net.Yunqing Xia, Xiaoyu Li, Erik Cambria, Amir Hussain
2014WWWConcept-level sentiment analysis: a world wide web conference 2014 tutorial.Erik Cambria
2014WWWCollective copyright: enabling the natural evolution of content creation in the web era.Emanuele Lunadei, Christian Valdivia Torres, Erik Cambria
2013CISInducing Word Senses for Cross-lingual Document Clustering.Guoyu Tang, Yunqing Xia, Erik Cambria, Peng Jin
2013ICDMEnhancing Sentiment Classification Performance Using Bi-Tagged Phrases.Basant Agarwal, Namita Mittal, Erik Cambria
2013KDDCommonsense-based topic modeling.Dheeraj Rajagopal, Daniel Olsher, Erik Cambria, Kenneth Kwok
2013WWWA graph-based approach to commonsense concept extraction and semantic similarity detection.Dheeraj Rajagopal, Erik Cambria, Daniel Olsher, Kenneth Kwok
2012AAAISentic Activation: A Two-Level Affective Common Sense Reasoning Framework.Erik Cambria, Daniel Olsher, Kenneth Kwok
2012CogSciSentic Panalogy: Swapping Affective Common Sense Reasoning Strategies and Foci.Erik Cambria, Daniel Olsher, Kenneth Kwok
2012FlAIRSSenticNet 2: A Semantic and Affective Resource for Opinion Mining and Sentiment Analysis.Erik Cambria, Catherine Havasi, Amir Hussain
2012ICDMEnriching SenticNet Polarity Scores through Semi-Supervised Fuzzy Clustering.Soujanya Poria, Alexander F. Gelbukh, Erik Cambria, Dipankar Das, Sivaji Bandyopadhyay
2012ICONIPTowards IMACA: Intelligent Multimodal Affective Conversational Agent.Amir Hussain, Erik Cambria, Thomas Mazzocco, Marco Grassi, Qiu-Feng Wang, Tariq S. Durrani
2012ISNNClustering Social Networks Using Interaction Semantics and Sentics.Praphul Chandra, Erik Cambria, Amir Hussain
2012ISNNSentic Maxine: Multimodal Affective Fusion and Emotional Paths.Isabelle Hupont, Erik Cambria, Eva Cerezo, Amir Hussain, Sandra Baldassarri
2012LRECAffective Common Sense Knowledge Acquisition for Sentiment Analysis.Erik Cambria, Yunqing Xia, Amir Hussain
2011ICDMIsanette: A Common and Common Sense Knowledge Base for Opinion Mining.Erik Cambria, Yangqiu Song, Haixun Wang, Amir Hussain
2011ISNNSentic Medoids: Organizing Affective Common Sense Knowledge in a Multi-Dimensional Vector Space.Erik Cambria, Thomas Mazzocco, Amir Hussain, Chris Eckl
2010KESSenticSpace: Visualizing Opinions and Sentiments in a Multi-dimensional Vector Space.Erik Cambria, Amir Hussain, Catherine Havasi, Chris Eckl