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Xiaoshi Zhong
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Books and Theses
- 2020
- [b1]Xiaoshi Zhong
:
Time expression and named entity analysis and recognition. Nanyang Technological University, Singapore, 2020
Journal Articles
- 2024
- [j6]Xiaoshi Zhong
, Chenyu Jin, Mengyu An, Erik Cambria
:
XTime: A general rule-based method for time expression recognition and normalization. Knowl. Based Syst. 297: 111921 (2024) - 2023
- [j5]Xiaoshi Zhong
, Erik Cambria
:
Time expression recognition and normalization: a survey. Artif. Intell. Rev. 56(9): 9115-9140 (2023) - [j4]Xiaoshi Zhong
, Xiang Yu
, Erik Cambria
, Jagath C. Rajapakse
:
Marshall-Olkin power-law distributions in length-frequency of entities. Knowl. Based Syst. 279: 110942 (2023) - 2022
- [j3]Xiaoshi Zhong
, Erik Cambria
, Amir Hussain
:
Does semantics aid syntax? An empirical study on named entity recognition and classification. Neural Comput. Appl. 34(11): 8373-8384 (2022) - 2020
- [j2]Xiaoshi Zhong
, Jagath C. Rajapakse:
Graph embeddings on gene ontology annotations for protein-protein interaction prediction. BMC Bioinform. 21-S(16): 560 (2020) - [j1]Xiaoshi Zhong
, Erik Cambria
, Amir Hussain:
Extracting Time Expressions and Named Entities with Constituent-Based Tagging Schemes. Cogn. Comput. 12(4): 844-862 (2020)
Conference and Workshop Papers
- 2024
- [c10]Xiaoshi Zhong
, Huizhi Liang
:
On the Scale-Free Property of Citation Networks: An Empirical Study. WWW (Companion Volume) 2024: 541-544 - 2022
- [c9]Xiaoshi Zhong
, Muyin Wang, Hongkun Zhang:
Is Least-Squares Inaccurate in Fitting Power-Law Distributions? The Criticism is Complete Nonsense. WWW 2022: 2748-2758 - 2019
- [c8]Xiaoshi Zhong
, Jagath C. Rajapakse:
Predicting Missing and Spurious Protein-Protein Interactions Using Graph Embeddings on GO Annotation Graph. BIBM 2019: 1828-1835 - 2018
- [c7]Xiaoshi Zhong
, Erik Cambria
:
Time Expression Recognition Using a Constituent-based Tagging Scheme. WWW 2018: 983-992 - 2017
- [c6]Xiaoshi Zhong
, Aixin Sun
, Erik Cambria
:
Time Expression Analysis and Recognition Using Syntactic Token Types and General Heuristic Rules. ACL (1) 2017: 420-429 - 2013
- [c5]Xiaoshi Zhong
:
A Wikipedia Based Hybrid Ranking Method for Taxonomic Relation Extraction. AIRS 2013: 332-343 - [c4]Yunqing Xia, Xiaoshi Zhong, Peng Liu, Cheng Tan, Sen Na, Qinan Hu, Yaohai Huang:
Combining MetaMap and cTAKES in Disorder Recognition: THCIB at CLEF eHealth Lab 2013 Task 1. CLEF (Working Notes) 2013 - [c3]Yunqing Xia, Xiaoshi Zhong, Peng Liu, Cheng Tan, Sen Na, Qinan Hu, Yaohai Huang:
Normalization of Abbreviations/Acronyms: THCIB at CLEF eHealth 2013 Task 2. CLEF (Working Notes) 2013 - [c2]Xiaoshi Zhong, Yunqing Xia, Zhongda Xie, Sen Na, Qinan Hu, Yaohai Huang:
Concept-based Medical Document Retrieval: THCIB at CLEF eHealth Lab 2013 Task 3. CLEF (Working Notes) 2013 - [c1]Yunqing Xia, Xiaoshi Zhong
, Guoyu Tang, Junjun Wang, Qiang Zhou, Thomas Fang Zheng, Qinan Hu, Sen Na, Yaohai Huang:
Ranking Search Intents Underlying a Query. NLDB 2013: 266-271
Informal and Other Publications
- 2018
- [i2]Xiaoshi Zhong, Erik Cambria, Jagath C. Rajapakse:
Named Entity Analysis and Extraction with Uncommon Words. CoRR abs/1810.06818 (2018) - [i1]Xiaoshi Zhong, Erik Cambria, Jagath C. Rajapakse:
Discovering Power Laws in Entity Length. CoRR abs/1811.03325 (2018)
Coauthor Index
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