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20162020
most citedSTEAM: Self-Supervised Taxonomy Expansion with Mini-Paths

47 citations · 91 across the 10 of their papers we have counts for

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cs.CL2020

Near-imperceptible Neural Linguistic Steganography via Self-Adjusting Arithmetic Coding

Jiaming Shen, Heng Ji, Jiawei Han

Linguistic steganography studies how to hide secret messages in natural language cover texts. Traditional methods aim to transform a secret message into an innocent text via lexica…

cs.CL2020

SynSetExpan: An Iterative Framework for Joint Entity Set Expansion and Synonym Discovery

Jiaming Shen, Wenda Qiu, Jingbo Shang +3

Entity set expansion and synonym discovery are two critical NLP tasks. Previous studies accomplish them separately, without exploring their interdependencies. In this work, we hypo…

cs.CL202047 cited

STEAM: Self-Supervised Taxonomy Expansion with Mini-Paths

Yue Yu, Yinghao Li, Jiaming Shen +3

Taxonomies are important knowledge ontologies that underpin numerous applications on a daily basis, but many taxonomies used in practice suffer from the low coverage issue. We stud…

cs.CL201921 cited

HiExpan: Task-Guided Taxonomy Construction by Hierarchical Tree Expansion

Jiaming Shen, Zeqiu Wu, Dongming Lei +5

Taxonomies are of great value to many knowledge-rich applications. As the manual taxonomy curation costs enormous human effects, automatic taxonomy construction is in great demand.…

cs.CL2019

SetExpan: Corpus-Based Set Expansion via Context Feature Selection and Rank Ensemble

Jiaming Shen, Zeqiu Wu, Dongming Lei +3

Corpus-based set expansion (i.e., finding the "complete" set of entities belonging to the same semantic class, based on a given corpus and a tiny set of seeds) is a critical task i…

cs.CL20182 cited

Weakly-Supervised Hierarchical Text Classification

Yu Meng, Jiaming Shen, Chao Zhang +1

Hierarchical text classification, which aims to classify text documents into a given hierarchy, is an important task in many real-world applications. Recently, deep neural models a…