| Word Embedding and WordNet based Metaphor Identification and Interpretation R Mao, C Lin, F Guerin Proceedings of ACL 1, 1222–1231, 2018 | 96 | 2018 |
| End-to-end Sequential Metaphor Identification Inspired by Linguistic Theories R Mao, C Lin, F Guerin Proceedings of ACL, 3888–3898, 2019 | 84 | 2019 |
| Bridging Towers of Multi-task Learning with a Gating Mechanism for Aspect-based Sentiment Analysis and Sequential Metaphor Identification R Mao, X Li Proceedings of AAAI 35 (15), 13534-13542, 2021 | 40 | 2021 |
| 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, 2023 | 39 | 2023 |
| A Stable Variational Autoencoder for Text Modelling R Li, X Li, C Lin, M Collinson, R Mao Proceedings of INLG, 594–599, 2019 | 31 | 2019 |
| Explainable Metaphor Identification Inspired by Conceptual Metaphor Theory M Ge*, R Mao*, E Cambria Proceedings of AAAI 36 (10), 10681-10689, 2022 | 28 | 2022 |
| MetaPro: A Computational Metaphor Processing Model for Text Pre-processing R Mao, X Li, M Ge, E Cambria Information Fusion 86, 30-43, 2022 | 26 | 2022 |
| Meta-based Self-training and Re-weighting for Aspect-based Sentiment Analysis K He, R Mao, T Gong, C Li, E Cambria IEEE Transactions on Affective Computing, 2023 | 25 | 2023 |
| Hierarchical Attention Network for Explainable Depression Detection on Twitter Aided by Metaphor Concept Mappings S Han*, R Mao*, E Cambria Proceedings of COLING, 94–104, 2022 | 12 | 2022 |
| Fusing Topology Contexts and Logical Rules in Language Models for Knowledge Graph Completion Q Lin, R Mao, J Liu, F Xu, E Cambria Information Fusion 90, 253-264, 2023 | 10 | 2023 |
| 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 | 9 | 2022 |
| Multi-source Aggregated Classification for Stock Price Movement Prediction Y Ma, R Mao, Q Lin, P Wu, E Cambria Information Fusion 91, 515-528, 2023 | 8 | 2023 |
| COPNER: Contrastive Learning with Prompt Guiding for Few-shot Named Entity Recognition Y Huang, K He, Y Wang, X Zhang, T Gong, R Mao, C Li Proceedings of COLING, 2515-2527, 2022 | 8 | 2022 |
| Virtual Prompt Pre-training for Prototype-based Few-shot Relation Extraction K He, Y Huang, R Mao, T Gong, C Li, E Cambria Expert Systems with Applications 213, 118927, 2023 | 5 | 2023 |
| SKIER: A Symbolic Knowledge Integrated Model for Conversational Emotion Recognition W Li, L Zhu, R Mao, E Cambria Proceedings of AAAI, 2023 | 4 | 2023 |
| Combining pre-trained word embeddings and linguistic features for sequential metaphor identification R Mao, C Lin, F Guerin arXiv preprint arXiv:2104.03285, 2021 | 4 | 2021 |
| Interpreting verbal metaphors by paraphrasing R Mao, C Lin, F Guerin arXiv preprint arXiv:2104.03391, 2021 | 4 | 2021 |
| Semantic Matching in Machine Reading Comprehension: An Empirical Study Q Liu, R Mao, X Geng, E Cambria Information Processing & Management 60 (2), 103145, 2023 | 3 | 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, 1-9, 2022 | 3 | 2022 |
| Abdn at SemEval-2018 task 10: Recognising Discriminative Attributes Using Context Embeddings and WordNet R Mao, G Chen, R Li, C Lin Proceedings of SemEval, 1017-1021, 2018 | 3 | 2018 |
Erik CambriaAssociate Professor, NTU SingaporeVerified email at ntu.edu.sg
