@inproceedings{ab953dcac31841e09d8f7427abd17b6e,
title = "Entity Classification for Military Knowledge Graph based on Baidu Encyclopedia Distance Learning",
abstract = "Entity types are a critical enabler for many NLP tasks that use KGs as a reference source. However, Classifying terminological entities without context remains an important outstanding obstacle in the field of KG completion. In this paper, we put forward a method combining distance learning and deep learning to address the classification of entity with no context. We compare the performance of our method with several text classification methods and shows our approach is empirically effective. Furthermore, the experiment result shows our approach can reduce the labeling work cost and expand the entities for further knowledge graph construction.",
keywords = "Distance learning, Entity classification, Military industry knowledge graph, Web crawler",
author = "Huiran Jia and Yuan Li and Dandan Song and Qinglin Wang",
note = "Publisher Copyright: {\textcopyright} 2021 IEEE.; 18th International Bhurban Conference on Applied Sciences and Technologies, IBCAST 2021 ; Conference date: 12-01-2021 Through 16-01-2021",
year = "2021",
month = jan,
day = "12",
doi = "10.1109/IBCAST51254.2021.9393163",
language = "English",
series = "Proceedings of 18th International Bhurban Conference on Applied Sciences and Technologies, IBCAST 2021",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
pages = "366--371",
editor = "Muhammad Zafar-Uz-Zaman and Siddiqui, {Naveed A.} and Mazhar Iqbal and Abdur Rauf and Naeem Zafar and Usman Qayyum and Tahir Jamil and Saifullah Khan and Irfan Ali and Qaisar Ahsan and Sajjad Asghar and Mureed Hussian and Shiraz Ahmad and Muhammad Rafique and Naveed Durrani and Qureshi, {Shafiq R.} and Abbas, {Syed Ali} and Naveed Ahsan and Abdul Mueed",
booktitle = "Proceedings of 18th International Bhurban Conference on Applied Sciences and Technologies, IBCAST 2021",
address = "United States",
}