Search Results for author: Bunyamin Sisman

Found 5 papers, 1 papers with code

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

no code implementations ACL 2021 Zhengbao Jiang, Jialong Han, Bunyamin Sisman, Xin Luna Dong

We propose a two-stage Collective Relation Integration (CoRI) model, where the first stage independently makes candidate predictions, and the second stage employs a collective model that accesses all candidate predictions to make globally coherent predictions.

Data Augmentation Knowledge Graphs +2

CorDEL: A Contrastive Deep Learning Approach for Entity Linkage

no code implementations15 Sep 2020 Zhengyang Wang, Bunyamin Sisman, Hao Wei, Xin Luna Dong, Shuiwang Ji

We evaluate CorDEL with extensive experiments conducted on both public benchmark datasets and a real-world dataset.

AutoBlock: A Hands-off Blocking Framework for Entity Matching

1 code implementation7 Dec 2019 Wei Zhang, Hao Wei, Bunyamin Sisman, Xin Luna Dong, Christos Faloutsos, David Page

Entity matching seeks to identify data records over one or multiple data sources that refer to the same real-world entity.

Entity Resolution Representation Learning

Efficient Knowledge Graph Accuracy Evaluation

no code implementations23 Jul 2019 Junyang Gao, Xi-An Li, Yifan Ethan Xu, Bunyamin Sisman, Xin Luna Dong, Jun Yang

To address the problem, this paper proposes an efficient sampling and evaluation framework, which aims to provide quality accuracy evaluation with strong statistical guarantee while minimizing human efforts.

Databases

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