| Time Expression Analysis and Recognition Using Syntactic Token Types and General Heuristic Rules X Zhong, A Sun, E Cambria Proceedings of the 55th Annual Meeting of the Association for Computational …, 2017 | 79 | 2017 |
| Extracting Time Expressions and Named Entities with Constituent-Based Tagging Schemes X Zhong, E Cambria, A Hussain Cognitive Computation 12 (4), 844-862, 2020 | 40 | 2020 |
| Time Expression Recognition Using a Constituent-based Tagging Scheme X Zhong, E Cambria Proceedings of the 2018 World Wide Web Conference, 983-992, 2018 | 40 | 2018 |
| Graph embeddings on gene ontology annotations for protein–protein interaction prediction X Zhong, JC Rajapakse BMC bioinformatics 21, 1-17, 2020 | 32 | 2020 |
| GO2Vec: transforming GO terms and proteins to vector representations via graph embeddings X Zhong, R Kaalia, JC Rajapakse BMC Genomics 20 (9), 1-10, 2019 | 29 | 2019 |
| Combining MetaMap and cTAKES in Disorder Recognition: THCIB at CLEF eHealth Lab 2013 Task 1 Y Xia, X Zhong, P Liu, C Tan, S Na, Q Hu, Y Huang Working Notes for CLEF 2013 Conference, 2013 | 20 | 2013 |
| Does Semantics Aid Syntax? An Empirical Study on Named Entity Recognition and Classification X Zhong, E Cambria, A Hussain Neural Computing and Applications 34 (11), 8373-8384, 2022 | 15 | 2022 |
| Time expression and named entity analysis and recognition X Zhong Nanyang Technological University, Singapore, 2020 | 11 | 2020 |
| Concept-based Medical Document Retrieval: THCIB at CLEF eHealth Lab 2013 Task 3 X Zhong, Y Xia, Z Xie, S Na, Q Hu, Y Huang Working Notes for CLEF 2013 Conference, 2013 | 11 | 2013 |
| Time Expression and Named Entity Recognition X Zhong, E Cambria Socio-Affective Computing 10, 2021 | 9 | 2021 |
| Time Expression Recognition and Normalization: A Survey X Zhong, E Cambria Artificial Intelligence Review 56 (9), 9115-9140, 2023 | 6 | 2023 |
| Predicting Missing and Spurious Protein-Protein Interactions Using Graph Embeddings on GO Annotation Graph X Zhong, JC Rajapakse Proceedings of the 2019 IEEE International Conference on Bioinformatics and …, 2019 | 6 | 2019 |
| Normalization of Abbreviations/Acronyms: THCIB at CLEF eHealth 2013 Task 2 Y Xia, X Zhong, P Liu, C Tan, S Na, Q Hu, Y Huang Working Notes for CLEF 2013 Conference, 2013 | 6 | 2013 |
| TOMN: Constituent-based Tagging Scheme X Zhong, E Cambria, X Zhong, E Cambria Time Expression and Named Entity Recognition, 59-75, 2021 | 5 | 2021 |
| Ranking Search Intents Underlying a Query Y Xia, X Zhong, G Tang, J Wang, Q Zhou, TF Zheng, Q Hu, S Na, Y Huang Proceedings of the 18th International Conference on Application of Natural …, 2013 | 5 | 2013 |
| Is Least-Squares Inaccurate in Fitting Power-Law Distributions? The Criticism is Complete Nonsense X Zhong, M Wang, H Zhang Proceedings of the ACM Web Conference 2022, 2748-2758, 2022 | 3 | 2022 |
| Marshall-Olkin Power-Law Distributions in Length-Frequency of Entities X Zhong, X Yu, E Cambria, JC Rajapakse Knowledge-Based Systems 279, 110942, 2023 | 2 | 2023 |
| Data Analysis X Zhong, E Cambria, X Zhong, E Cambria Time Expression and Named Entity Recognition, 35-46, 2021 | 2 | 2021 |
| XTime: A General Rule-based Method for Time Expression Recognition and Normalization X Zhong, C Jin, M An, E Cambria Knowledge-Based Systems 297, 111921, 2024 | 1 | 2024 |
| Named Entity Analysis and Extraction with Uncommon Words X Zhong, E Cambria, JC Rajapakse arXiv preprint arXiv:1810.06818, 2018 | 1 | 2018 |
Erik CambriaProfessor of Computing and Data Science, NTU SingaporeVerified email at ntu.edu.sg
