This repo contains code for the paper: OA-Mine: Open-World Attribute Mining for E-Commerce Products with Weak Supervision.
- This project works on open-world product attribute mining with weak supervision.
- Unlike previous work that requires attributes of interest to be specified (e.g., "I want to extract brands and colors"), we aim to find both new attributes (e.g., "what are possible attributes for TV products") and values (e.g., "4K UHD") from product titles on e-commerce cites.
- Our framework has two steps: attribute value candidate generation and attribute value grouping.
- Please check here for dataset release.
If you find our code or data useful, please cite:
@inproceedings{zhang2022oamine,
author = {Zhang, Xinyang and Zhang, Chenwei and Li, Xian and Dong, Xin Luna and Shang, Jingbo and Faloutsos, Christos and Han, Jiawei},
title = {OA-Mine: Open-World Attribute Mining for E-Commerce Products with Weak Supervision},
year = {2022},
isbn = {9781450390965},
publisher = {Association for Computing Machinery},
address = {New York, NY, USA},
url = {https://doi.org/10.1145/3485447.3512035},
doi = {10.1145/3485447.3512035},
booktitle = {Proceedings of the ACM Web Conference 2022},
pages = {3153–3161},
numpages = {9},
keywords = {weak supervision., Open-world product attribute mining},
location = {Virtual Event, Lyon, France},
series = {WWW '22}
}