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20172023
most citedPEGASUS: Pre-training with Extracted Gap-sentences for Abstractive Summarization

982 citations · 1.1k across the 12 of their papers we have counts for

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Showing 2019Show all

5 papers · 1 filter

cs.CL2019★ 982 cited

PEGASUS: Pre-training with Extracted Gap-sentences for Abstractive Summarization

Jingqing Zhang, Yao Zhao, Mohammad Saleh +1

Recent work pre-training Transformers with self-supervised objectives on large text corpora has shown great success when fine-tuned on downstream NLP tasks including text summariza…

cs.CL2019★ 1 cited

Unsupervised Annotation of Phenotypic Abnormalities via Semantic Latent Representations on Electronic Health Records

Jingqing Zhang, Xiaoyu Zhang, Kai Sun +3

The extraction of phenotype information which is naturally contained in electronic health records (EHRs) has been found to be useful in various clinical informatics applications su…

cs.LG2019★ 87 cited

Integrated Multi-omics Analysis Using Variational Autoencoders: Application to Pan-cancer Classification

Xiaoyu Zhang, Jingqing Zhang, Kai Sun +3

Different aspects of a clinical sample can be revealed by multiple types of omics data. Integrated analysis of multi-omics data provides a comprehensive view of patients, which has…

cond-mat.stat-mech2019★ 4 cited

Exclusion in Junction Geometries

K. Zhang, P. L. Krapivsky, S. Redner

We investigate the dynamics of the asymmetric exclusion process at a junction. When two input roads are initially fully occupied and a single output road is initially empty, the en…

cs.CL2019★ 17 cited

Integrating Semantic Knowledge to Tackle Zero-shot Text Classification

Jingqing Zhang, Piyawat Lertvittayakumjorn, Yike Guo

Insufficient or even unavailable training data of emerging classes is a big challenge of many classification tasks, including text classification. Recognising text documents of cla…