中国科学院机构知识库网格
Chinese Academy of Sciences Institutional Repositories Grid
A novel feature integration method for named entity recognition model in product titles

文献类型:期刊论文

作者Sun, Shiqi1; Zhang, Kun2; Li, Jingyuan3,5; Sun, Xinghang4; Cen, Jianhe1; Wang, Yuanzhuo2
刊名COMPUTATIONAL INTELLIGENCE
出版日期2024-06-01
卷号40期号:3页码:19
关键词multitask learning named entity recognition natural language processing
ISSN号0824-7935
DOI10.1111/coin.12654
英文摘要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.
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
语种英语
WOS记录号WOS:001250367900001
出版者WILEY
源URL[http://119.78.100.204/handle/2XEOYT63/39908]  
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.

入库方式: OAI收割

来源:计算技术研究所

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