Xiaoshi Zhong

According to our database, Xiaoshi Zhong authored at least 19 papers between 2013 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2024

XTime: A general rule-based method for time expression recognition and normalization.

Xiaoshi Zhong, Chenyu Jin, Mengyu An, Erik Cambria

Knowl. Based Syst., 2024

On the Scale-Free Property of Citation Networks: An Empirical Study.

Xiaoshi Zhong, Huizhi Liang

Proceedings of the Companion Proceedings of the ACM on Web Conference 2024, 2024

2023

Marshall-Olkin power-law distributions in length-frequency of entities.

Xiaoshi Zhong, Xiang Yu, Erik Cambria, Jagath C. Rajapakse

Knowl. Based Syst., November, 2023

Time expression recognition and normalization: a survey.

Xiaoshi Zhong, Erik Cambria

Artif. Intell. Rev., September, 2023

2022

Does semantics aid syntax? An empirical study on named entity recognition and classification.

Xiaoshi Zhong, Erik Cambria, Amir Hussain

Neural Comput. Appl., 2022

Is Least-Squares Inaccurate in Fitting Power-Law Distributions? The Criticism is Complete Nonsense.

Xiaoshi Zhong, Muyin Wang, Hongkun Zhang

Proceedings of the WWW '22: The ACM Web Conference 2022, Virtual Event, Lyon, France, April 25, 2022

2020

Time expression and named entity analysis and recognition

Xiaoshi Zhong

PhD thesis, 2020

Extracting Time Expressions and Named Entities with Constituent-Based Tagging Schemes.

Xiaoshi Zhong, Erik Cambria, Amir Hussain

Cogn. Comput., 2020

Graph embeddings on gene ontology annotations for protein-protein interaction prediction.

Xiaoshi Zhong, Jagath C. Rajapakse

BMC Bioinform., 2020

2019

Predicting Missing and Spurious Protein-Protein Interactions Using Graph Embeddings on GO Annotation Graph.

Xiaoshi Zhong, Jagath C. Rajapakse

Proceedings of the 2019 IEEE International Conference on Bioinformatics and Biomedicine, 2019

2018

Discovering Power Laws in Entity Length.

Xiaoshi Zhong, Erik Cambria, Jagath C. Rajapakse

CoRR, 2018

Named Entity Analysis and Extraction with Uncommon Words.

Xiaoshi Zhong, Erik Cambria, Jagath C. Rajapakse

CoRR, 2018

Time Expression Recognition Using a Constituent-based Tagging Scheme.

Xiaoshi Zhong, Erik Cambria

Proceedings of the 2018 World Wide Web Conference on World Wide Web, 2018

2017

Time Expression Analysis and Recognition Using Syntactic Token Types and General Heuristic Rules.

Xiaoshi Zhong, Aixin Sun, Erik Cambria

Proceedings of the 55th Annual Meeting of the Association for Computational Linguistics, 2017

2013

Ranking Search Intents Underlying a Query.

Yunqing Xia, Xiaoshi Zhong, Guoyu Tang, Junjun Wang, Qiang Zhou, Thomas Fang Zheng, Qinan Hu, Sen Na, Yaohai Huang

Proceedings of the Natural Language Processing and Information Systems, 2013

Concept-based Medical Document Retrieval: THCIB at CLEF eHealth Lab 2013 Task 3.

Xiaoshi Zhong, Yunqing Xia, Zhongda Xie, Sen Na, Qinan Hu, Yaohai Huang

Proceedings of the Working Notes for CLEF 2013 Conference , 2013

Normalization of Abbreviations/Acronyms: THCIB at CLEF eHealth 2013 Task 2.

Yunqing Xia, Xiaoshi Zhong, Peng Liu, Cheng Tan, Sen Na, Qinan Hu, Yaohai Huang

Proceedings of the Working Notes for CLEF 2013 Conference , 2013

Combining MetaMap and cTAKES in Disorder Recognition: THCIB at CLEF eHealth Lab 2013 Task 1.

Yunqing Xia, Xiaoshi Zhong, Peng Liu, Cheng Tan, Sen Na, Qinan Hu, Yaohai Huang

Proceedings of the Working Notes for CLEF 2013 Conference , 2013

A Wikipedia Based Hybrid Ranking Method for Taxonomic Relation Extraction.

Xiaoshi Zhong

Proceedings of the Information Retrieval Technology, 2013