13 citations · 15 across the 3 of their papers we have counts for
3 papers
JEL: A Novel Model Linking Knowledge Graph entities to News Mentions
Michael Kishelev, Pranab Bhadani, Wanying Ding +1
We present JEL, a novel computationally efficient end-to-end multi-neural network based entity linking model, which beats current state-of-art model. Knowledge Graphs have emerged…
JEL: Applying End-to-End Neural Entity Linking in JPMorgan Chase
Wanying Ding, Vinay K. Chaudhri, Naren Chittar +1
Knowledge Graphs have emerged as a compelling abstraction for capturing key relationship among the entities of interest to enterprises and for integrating data from heterogeneous s…
JPEC: A Novel Graph Neural Network for Competitor Retrieval in Financial Knowledge Graphs
Wanying Ding, Manoj Cherukumalli, Santosh Chikoti +1
Knowledge graphs have gained popularity for their ability to organize and analyze complex data effectively. When combined with graph embedding techniques, such as graph neural netw…