activity
20192022
most citedNeighborhood Matching Network for Entity Alignment

12 citations · 17 across the 4 of their papers we have counts for

collaborators

6 papers

cs.CL20221 cited

Counterfactual Recipe Generation: Exploring Compositional Generalization in a Realistic Scenario

Xiao Liu, Yansong Feng, Jizhi Tang +2

People can acquire knowledge in an unsupervised manner by reading, and compose the knowledge to make novel combinations. In this paper, we investigate whether pretrained language m…

cs.CL20221 cited

Things not Written in Text: Exploring Spatial Commonsense from Visual Signals

Xiao Liu, Da Yin, Yansong Feng +1

Spatial commonsense, the knowledge about spatial position and relationship between objects (like the relative size of a lion and a girl, and the position of a boy relative to a bic…

cs.CL20213 cited

Everything Has a Cause: Leveraging Causal Inference in Legal Text Analysis

Xiao Liu, Da Yin, Yansong Feng +2

Causal inference is the process of capturing cause-effect relationship among variables. Most existing works focus on dealing with structured data, while mining causal relationship…

cs.CL202012 cited

Neighborhood Matching Network for Entity Alignment

Yuting Wu, Xiao Liu, Yansong Feng +2

Structural heterogeneity between knowledge graphs is an outstanding challenge for entity alignment. This paper presents Neighborhood Matching Network (NMN), a novel entity alignmen…

cs.CL2019

Jointly Learning Entity and Relation Representations for Entity Alignment

Yuting Wu, Xiao Liu, Yansong Feng +2

Entity alignment is a viable means for integrating heterogeneous knowledge among different knowledge graphs (KGs). Recent developments in the field often take an embedding-based ap…

cs.CL2019

Relation-Aware Entity Alignment for Heterogeneous Knowledge Graphs

Yuting Wu, Xiao Liu, Yansong Feng +3

Entity alignment is the task of linking entities with the same real-world identity from different knowledge graphs (KGs), which has been recently dominated by embedding-based metho…