---
title: "Erik Cambria — all works — Elamur Research"
description: "All 41 works of Erik Cambria in the Elamur Research library, the most cited first: our summaries where we have them, else the original."
canonical: "https://research.elamur.ai/free/en/authors/erik-cambria/works/"
---
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# Erik Cambria — all works

41 works · [← Erik Cambria](https://md.research.elamur.ai/free/en/authors/erik-cambria/)

1. **[Tensor Fusion Network for Multimodal Sentiment Analysis](https://md.research.elamur.ai/free/en/papers/zadeh-2017-tensor-fusion-network-multimodal-sentiment/) [Conference on Empirical Methods in Natural Language Processing (EMNLP)](https://md.research.elamur.ai/free/en/venues/emnlp/)**Amir Zadeh, Minghai Chen, Soujanya Poria, et al.*2017 · 2,125 citations*
2. **[MELD: A Multimodal Multi-Party Dataset for Emotion Recognition in Conversations](https://md.research.elamur.ai/free/en/papers/poria-2018-meld-multimodal-multi-party-dataset/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Soujanya Poria, Devamanyu Hazarika, Navonil Majumder, et al.*2018 · 1,674 citations*
3. **[Deep Learning — based Text Classification ↗](https://doi.org/10.1145/3439726) ACM Computing Surveys · no summary yet**Shervin Minaee et al.*2021 · 1,544 citations*
4. **[Multimodal Language Analysis in the Wild: CMU-MOSEI Dataset and Interpretable Dynamic Fusion Graph](https://md.research.elamur.ai/free/en/papers/zadeh-2018-multimodal-language-analysis-wild-cmu/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**AmirAli Bagher Zadeh, Paul Pu Liang, Soujanya Poria, et al.*2018 · 1,522 citations*
5. **[Context-Dependent Sentiment Analysis in User-Generated Videos](https://md.research.elamur.ai/free/en/papers/poria-2017-context-dependent-sentiment-analysis-user/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Soujanya Poria, Erik Cambria, Devamanyu Hazarika, et al.*2017 · 1,029 citations*
6. **[Deep Convolutional Neural Network Textual Features and Multiple Kernel Learning for Utterance-level Multimodal Sentiment Analysis ↗](https://aclanthology.org/D15-1303/) Proceedings of the 2015 Conference on Empirical Methods in Natural Language Processing · no summary yet**Soujanya Poria, Erik Cambria, Alexander Gelbukh*2015 · 568 citations*
7. **[Conversational Memory Network for Emotion Recognition in Dyadic Dialogue Videos](https://md.research.elamur.ai/free/en/papers/hazarika-2018-conversational-memory-network-emotion-recognition/) [Conference of the North American Chapter of the Association for Computational Linguistics (NAACL)](https://md.research.elamur.ai/free/en/venues/naacl/)**Devamanyu Hazarika, Soujanya Poria, Amir Zadeh, et al.*2018 · 543 citations*
8. **[ICON: Interactive Conversational Memory Network for Multimodal Emotion Detection](https://md.research.elamur.ai/free/en/papers/hazarika-2018-icon-interactive-conversational-memory-network/) [Conference on Empirical Methods in Natural Language Processing (EMNLP)](https://md.research.elamur.ai/free/en/venues/emnlp/)**Devamanyu Hazarika, Soujanya Poria, Rada Mihalcea, et al.*2018 · 526 citations*
9. **[A Deeper Look into Sarcastic Tweets Using Deep Convolutional Neural Networks](https://md.research.elamur.ai/free/en/papers/poria-2016-deeper-look-into-sarcastic-tweets/) [International Conference on Computational Linguistics (COLING)](https://md.research.elamur.ai/free/en/venues/coling/)**Soujanya Poria, Erik Cambria, Devamanyu Hazarika, et al.*2016 · 335 citations*
10. **[Anaphora and Coreference Resolution: A Review ↗](https://arxiv.org/abs/1805.11824) arXiv:1805.11824 · no summary yet**Rhea Sukthanker et al.*2018 · 226 citations*
11. **[AffectiveSpace 2: Enabling Affective Intuition for Concept-Level Sentiment Analysis ↗](https://doi.org/10.1609/aaai.v29i1.9230) Proceedings of the AAAI Conference on Artificial Intelligence · no summary yet**Erik Cambria et al.*2015 · 199 citations*
12. **[Towards Scalable and Reliable Capsule Networks for Challenging NLP Applications ↗](https://aclanthology.org/P19-1150/) Proceedings of the 57th Annual Meeting of the Association for Computational Linguistics · no summary yet**Wei Zhao et al.*2019 · 167 citations*
13. **[IARM: Inter-Aspect Relation Modeling with Memory Networks in Aspect-Based Sentiment Analysis ↗](https://aclanthology.org/D18-1377/) Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing · no summary yet**Navonil Majumder et al.*2018 · 144 citations*
14. **[Are Large Language Models Really Good Logical Reasoners? A Comprehensive Evaluation and Beyond](https://md.research.elamur.ai/free/en/papers/xu-2023-large-language-models-really-good/) [IEEE Transactions on Knowledge and Data Engineering](https://md.research.elamur.ai/free/en/venues/ieee-transactions-on-knowledge-and-data-engineering/)**Fangzhi Xu, Qika Lin, Jiawei Han, et al.*2023 · 142 citations*
15. **[MELM: Data Augmentation with Masked Entity Language Modeling for Low-Resource NER ↗](https://aclanthology.org/2022.acl-long.160/) Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers) · no summary yet**Ran Zhou et al.*2022 · 125 citations*
16. **[SeNTU: Sentiment Analysis of Tweets by Combining a Rule-based Classifier with Supervised Learning ↗](https://aclanthology.org/S15-2108/) Proceedings of the 9th International Workshop on Semantic Evaluation (SemEval 2015) · no summary yet**Prerna Chikersal, Soujanya Poria, Erik Cambria*2015 · 118 citations*
17. [**Large Language Models for Automated Open-domain Scientific Hypotheses Discovery arXiv:2309.02726**Zonglin Yang, Xinya Du, Junxian Li, et al.*2023 · 96 citations*](https://md.research.elamur.ai/free/en/papers/yang-2023-large-language-models-automated/)
18. **[Modeling Inter-Aspect Dependencies for Aspect-Based Sentiment Analysis ↗](https://aclanthology.org/N18-2043/) Proceedings of the 2018 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, Volume 2 (Short Papers) · no summary yet**Devamanyu Hazarika et al.*2018 · 94 citations*
19. **[Intelligent fake reviews detection based on aspect extraction and analysis using deep learning ↗](https://doi.org/10.1007/s00521-022-07531-8) Neural Computing and Applications · no summary yet**Gourav Bathla et al.*2022 · 92 citations*
20. **[Explainable Metaphor Identification Inspired by Conceptual Metaphor Theory ↗](https://doi.org/10.1609/aaai.v36i10.21313) Proceedings of the AAAI Conference on Artificial Intelligence · no summary yet**Mengshi Ge, Rui Mao, Erik Cambria*2022 · 91 citations*
21. **[Financial Sentiment Analysis: An Investigation into Common Mistakes and Silver Bullets ↗](https://aclanthology.org/2020.coling-main.85/) Proceedings of the 28th International Conference on Computational Linguistics · no summary yet**Frank Xing et al.*2020 · 90 citations*
22. **[CASCADE: Contextual Sarcasm Detection in Online Discussion Forums](https://md.research.elamur.ai/free/en/papers/hazarika-2018-cascade-contextual-sarcasm-detection-online/) [International Conference on Computational Linguistics (COLING)](https://md.research.elamur.ai/free/en/venues/coling/)**Devamanyu Hazarika, Soujanya Poria, Sruthi Gorantla, et al.*2018 · 89 citations*
23. [**A Survey of Large Language Models for Healthcare: from Data, Technology, and Applications to Accountability and Ethics arXiv:2310.05694**Kai He, Rui Mao, Qika Lin, et al.*2023 · 86 citations*](https://md.research.elamur.ai/free/en/papers/he-2023-survey-large-language-models-healthcare/)
24. **[GPTEval: A Survey on Assessments of ChatGPT and GPT-4](https://md.research.elamur.ai/free/en/papers/mao-2024-gpteval-survey-assessments-chatgpt-gpt/) [Language Resources and Evaluation Conference (LREC)](https://md.research.elamur.ai/free/en/venues/lrec/)**Rui Mao, Guanyi Chen, Xulang Zhang, et al.*2024 · 75 citations*
25. **[Sentic Activation: A Two-Level Affective Common Sense Reasoning Framework ↗](https://doi.org/10.1609/aaai.v26i1.8154) Proceedings of the AAAI Conference on Artificial Intelligence · no summary yet**Erik Cambria, Daniel J. Olsher, Kenneth Kwok*75 citations*
26. **[Time Expression Analysis and Recognition Using Syntactic Token Types and General Heuristic Rules ↗](https://aclanthology.org/P17-1039/) Proceedings of the 55th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers) · no summary yet**Xiaoshi Zhong, Aixin Sun, Erik Cambria*2017 · 73 citations*
27. **[Language Models as Inductive Reasoners](https://md.research.elamur.ai/free/en/papers/yang-2024-language-models-as-inductive-reasoners/) [Conference of the European Chapter of the Association for Computational Linguistics (EACL)](https://md.research.elamur.ai/free/en/venues/eacl/)**Zonglin Yang, Li Dong, Xinya Du, et al.*2024 · 70 citations*
28. **[TECHS: Temporal Logical Graph Networks for Explainable Extrapolation Reasoning ↗](https://aclanthology.org/2023.acl-long.71/) Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers) · no summary yet**Qika Lin et al.*2023 · 64 citations*
29. **[MOOSE-Chem: Large Language Models for Rediscovering Unseen Chemistry Scientific Hypotheses ↗](https://arxiv.org/abs/2410.07076) arXiv:2410.07076 · no summary yet**Zonglin Yang et al.*2024 · 36 citations*
30. [**Logical Reasoning over Natural Language as Knowledge Representation: A Survey arXiv:2303.12023**Zonglin Yang, Xinya Du, Rui Mao, et al.*2023 · 27 citations*](https://md.research.elamur.ai/free/en/papers/yang-2023-logical-reasoning-over-natural-language/)
31. **[ResearchBench: Benchmarking LLMs in Scientific Discovery via Inspiration-Based Task Decomposition ↗](https://arxiv.org/abs/2503.21248) arXiv:2503.21248 · no summary yet**Yujie Liu et al.*2025 · 25 citations*
32. **[Through the MUD: A Multi-Defendant Charge Prediction Benchmark with Linked Crime Elements ↗](https://aclanthology.org/2024.acl-long.158/) Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers) · no summary yet**Xiao Wei et al.*2024 · 11 citations*
33. **[Task-Aware Self-Supervised Framework for Dialogue Discourse Parsing](https://md.research.elamur.ai/free/en/papers/li-2023-task-aware-self-supervised-framework/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Wei Li, Luyao Zhu, Wei Shao, et al.*2023 · 10 citations*
34. **[Developing a concept-level knowledge base for sentiment analysis in Singlish](https://md.research.elamur.ai/free/en/papers/bajpai-2017-developing-concept-level-knowledge-base/) [Lecture notes in computer science](https://md.research.elamur.ai/free/en/venues/lecture-notes-in-computer-science/)**Rajiv Bajpai; Soujanya Poria; Danyun Ho;, Erik Cambria*2017 · 10 citations*
35. **[Prompt-R1: Collaborative Automatic Prompting Framework via End-to-end Reinforcement Learning](https://md.research.elamur.ai/free/en/papers/liu-2026-prompt-r1-collaborative-automatic-prompting/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Wenjin Liu, Haoran Luo, Xueyuan Lin, et al.*2026 · 3 citations*
36. **[LexGenius: An Expert-Level Benchmark for Large Language Models in Legal General Intelligence](https://md.research.elamur.ai/free/en/papers/liu-2026-lexgenius-expert-level-benchmark-large/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Wenjin Liu, Haoran Luo, Xin Feng, et al.*2026 · 2 citations*
37. **[Appraisal Theory-Informed Emotion Prediction](https://md.research.elamur.ai/free/en/papers/wang-2026-appraisal-theory-informed-emotion-prediction/) [Language Resources and Evaluation Conference (LREC)](https://md.research.elamur.ai/free/en/venues/lrec/)**Xiaowei Wang, Jayant Teotia, Rui Mao, et al.*2026*
38. **[Evaluating Multimodal Large Language Model Narrative Interpretation through the Lens of Appraisal Theory](https://md.research.elamur.ai/free/en/papers/teotia-2026-evaluating-multimodal-large-language-model/) [Language Resources and Evaluation Conference (LREC)](https://md.research.elamur.ai/free/en/venues/lrec/)**Jayant Teotia, Xiaowei Wang, Xulang Zhang, et al.*2026*
39. **[Implicit Bias in Peer Review: Through the Lens of Language Abstraction](https://md.research.elamur.ai/free/en/papers/zhang-2026-implicit-bias-peer-review-through/) [Language Resources and Evaluation Conference (LREC)](https://md.research.elamur.ai/free/en/venues/lrec/)**Xulang Zhang, Rui Mao, Erik Cambria*2026*
40. **[Mapping Liberty Metaphors across Cultures and Time](https://md.research.elamur.ai/free/en/papers/suen-2026-mapping-liberty-metaphors-across-cultures/) [Language Resources and Evaluation Conference (LREC)](https://md.research.elamur.ai/free/en/venues/lrec/)**Sidney Suen, Rui Mao, Kenneth Kwok, et al.*2026*
41. **[The Evolution of Philosophy: A Metaphorical Cognition Perspective](https://md.research.elamur.ai/free/en/papers/mao-2026-evolution-philosophy-metaphorical-cognition-perspective/) [Language Resources and Evaluation Conference (LREC)](https://md.research.elamur.ai/free/en/venues/lrec/)**Rui Mao, Dapeng Chen, Zihao Huang, et al.*2026*