69 citations · 128 across the 5 of their papers we have counts for
5 papers
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…
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,…
Efficient Knowledge Graph Accuracy Evaluation
Junyang Gao, Xian Li, Yifan Ethan Xu +3
Estimation of the accuracy of a large-scale knowledge graph (KG) often requires humans to annotate samples from the graph. How to obtain statistically meaningful estimates for accu…
Scaling up Copy Detection
Xian Li, Xin Luna Dong, Kenneth B. Lyons +2
Recent research shows that copying is prevalent for Deep-Web data and considering copying can significantly improve truth finding from conflicting values. However, existing copy de…
Truth Finding on the Deep Web: Is the Problem Solved?
Xian Li, Xin Luna Dong, Kenneth Lyons +2
The amount of useful information available on the Web has been growing at a dramatic pace in recent years and people rely more and more on the Web to fulfill their information need…