A novel feature integration method for named entity recognition model in product titles

doi:10.1111/coin.12654

	A novel feature integration method for named entity recognition model in product titles
	Sun, Shiqi 1; Zhang, Kun 2; Li, Jingyuan 3,5; Sun, Xinghang 4; Cen, Jianhe 1; Wang, Yuanzhuo 2
	2024-06-01
发表期刊	COMPUTATIONAL INTELLIGENCE
ISSN	0824-7935
卷号	40 期号:3 页码:19
摘要	Entity recognition of product titles is essential for retrieving and recommending product information. Due to the irregularity of product title text, such as informal sentence structure, a large number of professional attribute words, a large number of unrelated independent entities of various combinations, the existing general named entity recognition model is limited in the e-commerce field of product title entity recognition. Most of the current studies focus on only one of the two challenges instead of considering the two challenges together. Our approach proposes NEZHA-CNN-GlobalPointer architecture with the addition of label semantic network, and uses multigranularity contextual and label semantic information to fully capture the internal structure and category information of words and texts to improve the entity recognition accuracy. Through a series of experiments, we proved the efficiency of our approach over a dataset of Chinese product titles from JD.com, improving the F1-value by 5.98%, when compared to the BERT-LSTM-CRF model on the product title corpus.
关键词	multitask learning named entity recognition natural language processing
DOI	10.1111/coin.12654
收录类别	SCI
语种	英语
资助项目	Major Public Welfare Project of Henan Province ; National Natural Science Foundation of China[62172393] ; National Natural Science Foundation of China[204200510002] ; BTBU Research Project[19008023216] ; Ministry of Education Industry Education - Tencent[2307000062303144] ; Research Program of Beijing Municipal Education Commission[KM202010037002] ; [201300311200]
WOS研究方向	Computer Science
WOS类目	Computer Science, Artificial Intelligence
WOS记录号	WOS:001250367900001
出版者	WILEY
引用统计
文献类型	期刊论文
条目标识符	http://119.78.100.204/handle/2XEOYT63/39909
专题	中国科学院计算技术研究所期刊论文_英文
通讯作者	Li, Jingyuan
作者单位	1.Zhengzhou Univ, Henan Inst Adv Technol, Zhengzhou, Peoples R China 2.Chinese Acad Sci, Inst Comp Technol, Beijing, Peoples R China 3.Beijing Technol & Business Univ, Sch Comp & Artificial Intelligence, Beijing, Peoples R China 4.Hebei Univ Engn, Coll Landscape & Ecol Engn, Handan, Peoples R China 5.Beijing Technol & Business Univ, Sch Comp Sci & Engn, 11 Fucheng Rd, Beijing, Peoples R China
推荐引用方式 GB/T 7714	Sun, Shiqi,Zhang, Kun,Li, Jingyuan,et al. A novel feature integration method for named entity recognition model in product titles[J]. COMPUTATIONAL INTELLIGENCE,2024,40(3):19.
APA	Sun, Shiqi,Zhang, Kun,Li, Jingyuan,Sun, Xinghang,Cen, Jianhe,&Wang, Yuanzhuo.(2024).A novel feature integration method for named entity recognition model in product titles.COMPUTATIONAL INTELLIGENCE,40(3),19.
MLA	Sun, Shiqi,et al."A novel feature integration method for named entity recognition model in product titles".COMPUTATIONAL INTELLIGENCE 40.3(2024):19.