MAVE: A Product Dataset for Multi-source Attribute Value Extraction

MAVE: A Product Dataset for Multi-source Attribute Value Extraction

16 December 2021

Sumit Sanghai

Jonathan L. Elsas

Bhargav Kanagal

Papers citing "MAVE: A Product Dataset for Multi-source Attribute Value Extraction"

8 / 8 papers shown

Title
Natural Language Processing for Human Resources: A Survey Naoki Otani Nikita Bhutani Estevam R. Hruschka VLM 37 0 0 21 Oct 2024
EAVE: Efficient Product Attribute Value Extraction via Lightweight Sparse-layer Interaction Li Yang Qifan Wang Jianfeng Chi Jiahao Liu Jingang Wang Fuli Feng Zenglin Xu Yi Fang Lifu Huang Dongfang Liu 35 1 0 10 Jun 2024
Knowledge-Enhanced Multi-Label Few-Shot Product Attribute-Value Extraction Jiaying Gong Wei-Te Chen Hoda Eldardiry VLM 13 6 0 16 Aug 2023
AMELI: Enhancing Multimodal Entity Linking with Fine-Grained Attributes Barry Menglong Yao Yu Chen Qifan Wang Sijia Wang Minqian Liu Zhiyang Xu Licheng Yu Lifu Huang 24 7 0 24 May 2023
Automated Extraction of Fine-Grained Standardized Product Information from Unstructured Multilingual Web Data Alexander Flick Sebastian Jäger Ivana Trajanovska F. Biessmann 16 0 0 23 Feb 2023
Transformers are Short Text Classifiers: A Study of Inductive Short Text Classifiers on Benchmarks and Real-world Datasets Fabian Karl A. Scherp VLM 21 20 0 30 Nov 2022
WebFormer: The Web-page Transformer for Structure Information Extraction Qifan Wang Yi Fang Anirudh Ravula Fuli Feng Xiaojun Quan Dongfang Liu ViT 143 65 0 01 Feb 2022
Knowledge-guided Open Attribute Value Extraction with Reinforcement Learning Ye Liu Sheng Zhang Rui Song Suo Feng Yanghua Xiao 32 8 0 19 Oct 2020