| SenticNet 7: A Commonsense-based Neurosymbolic AI Framework for Explainable Sentiment Analysis E Cambria, Q Liu, S Decherchi, F Xing, K Kwok Proceedings of the Thirteenth Language Resources and Evaluation Conference …, 2022 | 291* | 2022 |
| The Biases of Pre-Trained Language Models: An Empirical Study on Prompt-Based Sentiment Analysis and Emotion Detection R Mao, Q Liu, K He, W Li, E Cambria IEEE Transactions on Affective Computing, 2022 | 178 | 2022 |
| Does deep learning help topic extraction? A kernel k-means clustering method with word embedding Y Zhang, J Lu, F Liu, Q Liu, A Porter, H Chen, G Zhang Journal of Informetrics 12 (4), 1099-1117, 2018 | 124 | 2018 |
| Scene graph as pivoting: Inference-time image-free unsupervised multimodal machine translation with visual scene hallucination H Fei, Q Liu, M Zhang, M Zhang, TS Chua Proceedings of the Association for Computational Linguistics: ACL 2023, 5980 …, 2023 | 75 | 2023 |
| Task-oriented word embedding for text classification Q Liu, HY Huang, Y Gao, X Wei, Y Tian, L Liu Proceedings of the 27th International Conference on Computational …, 2018 | 65 | 2018 |
| Concept representation by learning explicit and implicit concept couplings W Lu, Y Zhang, S Wang, H Huang, Q Liu, S Luo IEEE Intelligent Systems 36 (1), 6-15, 2020 | 34 | 2020 |
| Jointly learning topics in sentence embedding for document summarization Y Gao, Y Xu, H Huang, Q Liu, L Wei, L Liu IEEE Transactions on Knowledge and Data Engineering 32 (4), 688-699, 2019 | 31 | 2019 |
| Sentic Parser: A Graph-Based Approach to Concept Extraction for Sentiment Analysis E Cambria, R Mao, S Han, Q Liu Proceedings of ICDM Workshops, 2022 | 30 | 2022 |
| Semantic structure-based word embedding by incorporating concept convergence and word divergence Q Liu, H Huang, G Zhang, Y Gao, J Xuan, J Lu Thirty-Second AAAI Conference on Artificial Intelligence, 2018 | 29 | 2018 |
| Domain-specific meta-embedding with latent semantic structures Q Liu, J Lu, G Zhang, T Shen, Z Zhang, H Huang Information Sciences 555, 410-423, 2021 | 25 | 2021 |
| Faithful Logical Reasoning via Symbolic Chain-of-Thought J Xu, H Fei, L Pan, Q Liu, ML Lee, W Hsu Proceedings of the Association for Computational Linguistics: ACL 2024, 2024 | 24 | 2024 |
| Semantic matching in machine reading comprehension: An empirical study Q Liu, R Mao, X Geng, E Cambria Information Processing and Management 2023, 2023 | 24 | 2023 |
| Enhanced word embedding similarity measures using fuzzy rules for query expansion Q Liu, H Huang, J Lu, Y Gao, G Zhang 2017 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE), 1-6, 2017 | 24 | 2017 |
| Stress Detection from Social Media Articles: New Dataset Benchmark and Analytical Study A Rastogi, Q Liu, E Cambria Proceedings of IJCNN, 2022 | 23 | 2022 |
| A Fuzzy Word Similarity Measure for Selecting Top-k Similar Words in Query Expansion Q Liu, H Huang, J Xuan, G Zhang, Y Gao, J Lu IEEE Transactions on Fuzzy Systems, 2020 | 22 | 2020 |
| PTCSpell: Pre-trained Corrector Based on Character Shape and Pinyin for Chinese Spelling Correction X Wei, J Huang, H Yu, Q Liu Findings of the Association for Computational Linguistics: ACL 2023, 6330-6343, 2023 | 14 | 2023 |
| Saving Earth One Tweet at a Time through the Lens of Artificial Intelligence C Duong, Q Liu, R Mao, E Cambria Proceedings of IJCNN, 2022 | 14 | 2022 |
| MetaPro 2.0: Computational Metaphor Processing on the Effectiveness of Anomalous Language Modeling R Mao, K He, CB Ong, Q Liu, E Cambria Findings of the Association for Computational Linguistics: ACL 2024, 2024 | 11 | 2024 |
| Event Extraction With Dynamic Prefix Tuning and Relevance Retrieval H Huang, X Liu, G Shi, Q Liu IEEE Transactions on Knowledge and Data Engineering, 2023 | 11 | 2023 |
| PrimeNet: A Framework for Commonsense Knowledge Representation and Reasoning Based on Conceptual Primitives Q Liu, S Han, E Cambria, Y Li, K Kwok Cognitive Computation 16, 2024 | 10 | 2024 |
Erik CambriaProfessor of Computing and Data Science, NTU SingaporeVerified email at ntu.edu.sg
