Boston Members’ Paper on Product Attribute Value Extraction Accepted at EMNLP 2023 in the Industry Track
Congratulations to Wei-Te Chen, Keiji Shinzato, and Yandi Xia, Research Scientists at Rakuten Institute of Technology in Boston, along with Naoki Yoshinaga, an external collaborator, on the acceptance of their paper, “Does Named Entity Recognition Truly Not Scale Up to Real-world Product Attribute Extraction?” at EMNLP 2023 in the industry track!
EMNLP 2023 stands as the premier conference in the field of Computational Linguistics and Natural Language Processing. Their paper explores the scalability of extraction-based attribute-value extraction (AVE) models in the real-world e-commerce domain.
The conference will be held from 06-10 December in Singapore.