activity
20202022
most citedTPLinker: Single-stage Joint Extraction of Entities and Relations Through Token Pair Linking

16 citations · 24 across the 4 of their papers we have counts for

collaborators

5 papers

cs.CL2022

Document-Level Event Extraction via Human-Like Reading Process

Shiyao Cui, Xin Cong, Bowen Yu +3

Document-level Event Extraction (DEE) is particularly tricky due to the two challenges it poses: scattering-arguments and multi-events. The first challenge means that arguments of…

cs.CV2021

Distilling Holistic Knowledge with Graph Neural Networks

Sheng Zhou, Yucheng Wang, Defang Chen +4

Knowledge Distillation (KD) aims at transferring knowledge from a larger well-optimized teacher network to a smaller learnable student network.Existing KD methods have mainly consi…

cs.CL202016 cited

TPLinker: Single-stage Joint Extraction of Entities and Relations Through Token Pair Linking

Yucheng Wang, Bowen Yu, Yueyang Zhang +3

Extracting entities and relations from unstructured text has attracted increasing attention in recent years but remains challenging, due to the intrinsic difficulty in identifying…

cs.NI20207 cited

XLBoost-Geo: An IP Geolocation System Based on Extreme Landmark Boosting

Yucheng Wang, Hongsong Zhu, Jinfa Wang +3

IP geolocation aims at locating the geographical position of Internet devices, which plays an essential role in many Internet applications. In this field, a long-standing challenge…

cs.DM20201 cited

Edge corona product as an approach to modeling complex simplical networks

Yucheng Wang, Yuhao Yi, Wanyue Xu +1

Many graph products have been applied to generate complex networks with striking properties observed in real-world systems. In this paper, we propose a simple generative model for…