151 citations · 186 across the 5 of their papers we have counts for
5 papers
Integrating Knowledge from Latent and Explicit Features for Triple Scoring - Team Radicchio's Triple Scorer at WSDM Cup 2017
Liang-Wei Chen, Bhargav Mangipudi, Jayachandu Bandlamudi +4
The objective of the triple scoring task in WSDM Cup 2017 is to compute relevance scores for knowledge-base triples of type-like relations. For example, consider Julius Caesar who…
Wikidata Vandalism Detection - The Loganberry Vandalism Detector at WSDM Cup 2017
Qi Zhu, Hongwei Ng, Liyuan Liu +4
Wikidata is the new, large-scale knowledge base of the Wikimedia Foundation. As it can be edited by anyone, entries frequently get vandalized, leading to the possibility that it mi…
Empower Sequence Labeling with Task-Aware Neural Language Model
Liyuan Liu, Jingbo Shang, Frank F. Xu +4
Linguistic sequence labeling is a general modeling approach that encompasses a variety of problems, such as part-of-speech tagging and named entity recognition. Recent advances in…
Heterogeneous Supervision for Relation Extraction: A Representation Learning Approach
Liyuan Liu, Xiang Ren, Qi Zhu +4
Relation extraction is a fundamental task in information extraction. Most existing methods have heavy reliance on annotations labeled by human experts, which are costly and time-co…
Towards Faster Rates and Oracle Property for Low-Rank Matrix Estimation
Huan Gui, Quanquan Gu
We present a unified framework for low-rank matrix estimation with nonconvex penalties. We first prove that the proposed estimator attains a faster statistical rate than the tradit…