The open-brand from kassemsabeh

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The dataset contains over 250k product brand-value annotations with more than 50k unique values across eight main categories of Amazon product profiles.

License: MIT License

Python 85.50% Shell 14.50%

open-brand's Introduction

Hello there 👋

I am a PhD student at the Free University of Bozen-Bolzano. I work on the intersection of Natural Language Processing and Information Extraction, with a focus on extracting structured information from text in the E-commerce domain, i.e., I just like to train large models on huge datasets!

Publications

Kassem Sabeh, Mouna Kacimi, and Johann Gamper. 2023. GAVI: A Category-Aware Generative Approach for Brand Value Identification. In Proceedings of the 6th International Conference on Natural Language and Speech Processing (ICNLSP 2023), pages 110–119, Online. Association for Computational Linguistics. [Paper] [Code] [Demo]
Kassem Sabeh, Mouna Kacimi, and Johann Gamper. "CAVE: Correcting Attribute Values in E-commerce Profiles." Proceedings of the 31st ACM International Conference on Information & Knowledge Management. 2022. [Paper] [Code] [Datasets] [Demo] [Video]
Kassem Sabeh, Mouna Kacimi, and Johann Gamper. 2022. OpenBrand: Open Brand Value Extraction from Product Descriptions. In Proceedings of the Fifth Workshop on e-Commerce and NLP (ECNLP 5), pages 161–170, Dublin, Ireland. Association for Computational Linguistics. [Paper] [Code] [Video]
Hassan Harb, Diana Abi Nader, Kassem Sabeh, and Abdallah Makhoul. "Real-Time Approach for Decision Making in IoT-Based Applications." In International Conference on Sensor Networks. 2022. [Paper]