Cambria, Erik

20 publications

NeurIPS 2025 MOOSE-Chem2: Exploring LLM Limits in Fine-Grained Scientific Hypothesis Discovery via Hierarchical Search Zonglin Yang, Wanhao Liu, Ben Gao, Yujie Liu, Wei Li, Tong Xie, Lidong Bing, Wanli Ouyang, Erik Cambria, Dongzhan Zhou

ICLR 2025 MOOSE-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

ICLRW 2025 MOOSE-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

ICMLW 2024 Large Language Models for Automated Open-Domain Scientific Hypotheses Discovery Zonglin Yang, Xinya Du, Junxian Li, Jie Zheng, Soujanya Poria, Erik Cambria

IJCAI 2024 Understanding Public Perception Towards Weather Disasters Through the Lens of Metaphor Rui Mao, Qika Lin, Qiawen Liu, Gianmarco Mengaldo, Erik Cambria

AAAI 2023 SKIER: A Symbolic Knowledge Integrated Model for Conversational Emotion Recognition Wei Li, Luyao Zhu, Rui Mao, Erik Cambria

AAAI 2022 Explainable Metaphor Identification Inspired by Conceptual Metaphor Theory Mengshi Ge, Rui Mao, Erik Cambria

AAAI 2022 Fusing Task-Oriented and Open-Domain Dialogues in Conversational Agents Tom Young, Frank Xing, Vlad Pandelea, Jinjie Ni, Erik Cambria

AAAI 2022 HiTKG: Towards Goal-Oriented Conversations via Multi-Hierarchy Learning Jinjie Ni, Vlad Pandelea, Tom Young, Haicang Zhou, Erik Cambria

ECML-PKDD 2021 Multitask Recalibrated Aggregation Network for Medical Code Prediction Wei Sun, Shaoxiong Ji, Erik Cambria, Pekka Marttinen

AAAI 2019 DialogueRNN: An Attentive RNN for Emotion Detection in Conversations Navonil Majumder, Soujanya Poria, Devamanyu Hazarika, Rada Mihalcea, Alexander F. Gelbukh, Erik Cambria

AAAI 2018 Augmenting End-to-End Dialogue Systems with Commonsense Knowledge Tom Young, Erik Cambria, Iti Chaturvedi, Hao Zhou, Subham Biswas, Minlie Huang

AAAI 2018 Memory Fusion Network for Multi-View Sequential Learning Amir Zadeh, Paul Pu Liang, Navonil Mazumder, Soujanya Poria, Erik Cambria, Louis-Philippe Morency

AAAI 2018 Multi-Attention Recurrent Network for Human Communication Comprehension Amir Zadeh, Paul Pu Liang, Soujanya Poria, Prateek Vij, Erik Cambria, Louis-Philippe Morency

AAAI 2018 SenticNet 5: Discovering Conceptual Primitives for Sentiment Analysis by Means of Context Embeddings Erik Cambria, Soujanya Poria, Devamanyu Hazarika, Kenneth Kwok

AAAI 2018 Targeted Aspect-Based Sentiment Analysis via Embedding Commonsense Knowledge into an Attentive LSTM Yukun Ma, Haiyun Peng, Erik Cambria

AAAI 2015 AffectiveSpace 2: Enabling Affective Intuition for Concept-Level Sentiment Analysis Erik Cambria, Jie Fu, Federica Bisio, Soujanya Poria

IJCAI 2015 Feature Ensemble Plus Sample Selection: Domain Adaptation for Sentiment Classification (Extended Abstract) Rui Xia, Chengqing Zong, Xuelei Hu, Erik Cambria

AAAI 2014 SenticNet 3: A Common and Common-Sense Knowledge Base for Cognition-Driven Sentiment Analysis Erik Cambria, Daniel Olsher, Dheeraj Rajagopal

AAAI 2012 Sentic Activation: A Two-Level Affective Common Sense Reasoning Framework Erik Cambria, Daniel Olsher, Kenneth Kwok