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 2020Show all

9 papers · 1 filter

cs.IR2020

J-Recs: Principled and Scalable Recommendation Justification

Namyong Park, Andrey Kan, Christos Faloutsos +1

Online recommendation is an essential functionality across a variety of services, including e-commerce and video streaming, where items to buy, watch, or read are suggested to user…

cs.AI2020★ 118 cited

Machine Knowledge: Creation and Curation of Comprehensive Knowledge Bases

Gerhard Weikum, Luna Dong, Simon Razniewski +1

Equipping machines with comprehensive knowledge of the world's entities and their relationships has been a long-standing goal of AI. Over the last decade, large-scale knowledge bas…

cs.DB2020★ 5 cited

CorDEL: A Contrastive Deep Learning Approach for Entity Linkage

Zhengyang Wang, Bunyamin Sisman, Hao Wei +2

Entity linkage (EL) is a critical problem in data cleaning and integration. In the past several decades, EL has typically been done by rule-based systems or traditional machine lea…

cs.AI2020★ 69 cited

AutoKnow: Self-Driving Knowledge Collection for Products of Thousands of Types

Xin Luna Dong, Xiang He, Andrey Kan +19

Can one build a knowledge graph (KG) for all products in the world? Knowledge graphs have firmly established themselves as valuable sources of information for search and question a…

cs.CL2020★ 3 cited

Automatic Validation of Textual Attribute Values in E-commerce Catalog by Learning with Limited Labeled Data

Yaqing Wang, Yifan Ethan Xu, Xian Li +2

Product catalogs are valuable resources for eCommerce website. In the catalog, a product is associated with multiple attributes whose values are short texts, such as product name,…

cs.LG2020★ 22 cited

MultiImport: Inferring Node Importance in a Knowledge Graph from Multiple Input Signals

Namyong Park, Andrey Kan, Xin Luna Dong +2

Given multiple input signals, how can we infer node importance in a knowledge graph (KG)? Node importance estimation is a crucial and challenging task that can benefit a lot of app…