activity
20182021
most citedOpenTag: Open Attribute Value Extraction from Product Profiles [Deep Learning, Active Learning, Named Entity Recognition]

157 citations · 653 across the 20 of their papers we have counts for

collaborators
Showing 2021Show all

5 papers · 1 filter

cs.LG2021

Deep Transfer Learning for Multi-source Entity Linkage via Domain Adaptation

Di Jin, Bunyamin Sisman, Hao Wei +2

Multi-source entity linkage focuses on integrating knowledge from multiple sources by linking the records that represent the same real world entity. This is critical in high-impact…

cs.CV2021★ 28 cited

PAM: Understanding Product Images in Cross Product Category Attribute Extraction

Rongmei Lin, Xiang He, Jie Feng +4

Understanding product attributes plays an important role in improving online shopping experience for customers and serves as an integral part for constructing a product knowledge g…

cs.CL2021★ 3 cited

AdaTag: Multi-Attribute Value Extraction from Product Profiles with Adaptive Decoding

Jun Yan, Nasser Zalmout, Yan Liang +3

Automatic extraction of product attribute values is an important enabling technology in e-Commerce platforms. This task is usually modeled using sequence labeling architectures, wi…

cs.CL2021

CoRI: Collective Relation Integration with Data Augmentation for Open Information Extraction

Zhengbao Jiang, Jialong Han, Bunyamin Sisman +1

Integrating extracted knowledge from the Web to knowledge graphs (KGs) can facilitate tasks like question answering. We study relation integration that aims to align free-text rela…

cs.IR2021★ 30 cited

TCN: Table Convolutional Network for Web Table Interpretation

Daheng Wang, Prashant Shiralkar, Colin Lockard +3

Information extraction from semi-structured webpages provides valuable long-tailed facts for augmenting knowledge graph. Relational Web tables are a critical component containing a…