An Entity Linking Approach Based on Context Information and Learning to Rank

doi:10.13190/j.jbupt.2015.05.005

JOURNAL OF BEIJING UNIVERSITY OF POSTS AND TELECOM ›› 2015, Vol. 38 ›› Issue (5): 33-36.doi: 10.13190/j.jbupt.2015.05.005

• Papers • Previous Articles Next Articles

An Entity Linking Approach Based on Context Information and Learning to Rank

TAN Yong-mei, WANG Rui, LI Mao-lin

Center for Intelligence Science and Technology, Beijing University of Posts and Telecommunications, Beijing 100876, China

Received:2014-12-05 Online:2015-10-28 Published:2015-10-28

Abstract

Abstract:

English entity linking tasks play an important role in construction of semantic network and big knowledge base. An entity linking method based on local information and learning to rank algorithm was proposed. Firstly, the context information is well used for expanding mentions' name and retrieving candidate entities from Wikipedia. Secondly, kinds of features are extracted between mentions and candidates and also the ListNet algorithm was used to rank the candidate entities to choose the most related entity as the linked objects. Finally, the NIL entities was clustered by clustering method. The method achieved 0.660 F value on KBP 2013 Entity Linking dataset, it performs 0.092 better than the median F value of all participated teams in KBP 2013 entity linking task and also performs 0.162 better than BUPTTeam 2013, which is the baseline comparison system in the experiment.

Key words: English entity linking, context information, learning to rank, ListNet algorithm, entity clustering

CLC Number:

TN929.53

TAN Yong-mei, WANG Rui, LI Mao-lin. An Entity Linking Approach Based on Context Information and Learning to Rank[J]. JOURNAL OF BEIJING UNIVERSITY OF POSTS AND TELECOM, 2015, 38(5): 33-36.

[1]	ZHANG Chenyu, WEN Xiangming, CHEN Yawen. High-Precision and Low-Cost Timing Method of Mobile Cellular Network [J]. Journal of Beijing University of Posts and Telecommunications, 2023, 46(1): 103-108.
[2]	. Intent-driven Demand-aware Resource Service in Autonomous Networks [J]. Journal of Beijing University of Posts and Telecommunications, 2022, 45(6): 85-91.
[3]	CHU Xing-he, LU Zhao-ming, WANG Lu-han, WU Mu-qing, WEN Xiang-ming. Multi-Path Assisted Cooperative Radio-Based Localization for Connected Vehicles [J]. Journal of Beijing University of Posts and Telecommunications, 2021, 44(2): 116-123.
[4]	ZHANG Tian-kui, WANG Xiao-fei, YANG Li-wei, YANG Ding-cheng. A SFC Deployment and Computation Resource Allocation Joint Algorithm in Mobile Networks [J]. Journal of Beijing University of Posts and Telecommunications, 2021, 44(1): 7-13.
[5]	Lü Ting-jie, SONG Luo-na, TENG Ying-lei, FENG Ye-yuan. The Architecture Design and Evaluation Method for Eco-Sustainabability Oriented Next Generation Communication Networks [J]. Journal of Beijing University of Posts and Telecommunications, 2020, 43(6): 18-26,35.
[6]	HE Jian-hua, ZHAO Hui, XU Xiao-bin, YAN Lei, WANG Shang-guang. Data Collection Method of Space-Based Internet of Things Based on Improved Double Level Distributed LT Code [J]. Journal of Beijing University of Posts and Telecommunications, 2020, 43(6): 118-125.
[7]	MA Lu, LIU Ming, LI Chao, LU Zhao-ming, MA Huan. A Cloud-Edge Collaborative Computing Task Scheduling Algorithm for 6G Edge Networks [J]. Journal of Beijing University of Posts and Telecommunications, 2020, 43(6): 66-73.
[8]	GUAN Wan-qing, ZHANG Hai-jun, LU Zhao-ming. Intelligent Resource Allocation Algorithm for 6G Multi-Tenant Network Slicing Based on Deep Reinforcement Learning [J]. Journal of Beijing University of Posts and Telecommunications, 2020, 43(6): 132-139.
[9]	LUO Yi, WANG Yu-ting, SHI Rong-hua, YAN Meng-chun, ZENG Hao. Secrecy Outage Probability Analysis of Underlay Cognitive Cooperative Relay Network with Energy Harvesting [J]. Journal of Beijing University of Posts and Telecommunications, 2020, 43(3): 105-111,124.
[10]	LI Jun-yao, CHANG Yong-yu, ZENG Tian-yi. Channel Correlation Based LOS/NLOS Identification for 3D Massive MIMO Systems [J]. Journal of Beijing University of Posts and Telecommunications, 2020, 43(1): 1-7.
[11]	JIANG Fang, ZHANG Nan-fei, HU Yan-jun, WANG Yi. BP Neural Network Based CSI Device-Free Target Classification Method [J]. Journal of Beijing University of Posts and Telecommunications, 2020, 43(1): 40-45.
[12]	REN Jia-zhi, TIAN Hui, NIE Gao-feng. Proactive Caching Scheme with Local Content Popularity Prediction [J]. Journal of Beijing University of Posts and Telecommunications, 2020, 43(1): 80-91.
[13]	XU Jiu-yun, SUN Zhong-shun, ZHANG Ru-ru. Mobile Phone Energy Saving Based on Link Prediction [J]. Journal of Beijing University of Posts and Telecommunications, 2020, 43(1): 8-13,27.
[14]	LI Xiao-hui, DU Yang-fan, SHI Xiao-zhu, YANG Xu. NLOS Ranging Error Compensation Algorithm Based on Fuzzy Association Channel Identification [J]. Journal of Beijing University of Posts and Telecommunications, 2020, 43(1): 21-27.
[15]	LI Peng, WANG De-yong, SHI Wen-xi, JIANG Zhi-guo. Research on Person Re-Identification Based on Deep Learning under Big Data Environment [J]. JOURNAL OF BEIJING UNIVERSITY OF POSTS AND TELECOM, 2019, 42(6): 29-34.

An Entity Linking Approach Based on Context Information and Learning to Rank

RichHTML

PDF

Knowledge

Abstract

Cite this article

share this article

References

Related Articles 15

Recommended Articles

Metrics

Comments