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20162024
most citedFocusing Attention: Towards Accurate Text Recognition in Natural Images

584 citations · 1.9k across the 94 of their papers we have counts for

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Showing cs.CLShow all

6 papers · 1 filter

cs.CL2021★ 4 cited

Entity Concept-enhanced Few-shot Relation Extraction

Shan Yang, Yongfei Zhang, Guanglin Niu +2

Few-shot relation extraction (FSRE) is of great importance in long-tail distribution problem, especially in special domain with low-resource data. Most existing FSRE algorithms fai…

cs.CL2020★ 6 cited

AutoETER: Automated Entity Type Representation for Knowledge Graph Embedding

Guanglin Niu, Bo Li, Yongfei Zhang +2

Recent advances in Knowledge Graph Embedding (KGE) allow for representing entities and relations in continuous vector spaces. Some traditional KGE models leveraging additional type…

cs.CL2020★ 6 cited

Two Step Joint Model for Drug Drug Interaction Extraction

Siliang Tang, Qi Zhang, Tianpeng Zheng +7

When patients need to take medicine, particularly taking more than one kind of drug simultaneously, they should be alarmed that there possibly exists drug-drug interaction. Interac…

cs.CL2020★ 9 cited

Topic Adaptation and Prototype Encoding for Few-Shot Visual Storytelling

Jiacheng Li, Siliang Tang, Juncheng Li +4

Visual Storytelling~(VIST) is a task to tell a narrative story about a certain topic according to the given photo stream. The existing studies focus on designing complex models, wh…

cs.CL2019

Posterior-regularized REINFORCE for Instance Selection in Distant Supervision

Qi Zhang, Siliang Tang, Xiang Ren +3

This paper provides a new way to improve the efficiency of the REINFORCE training process. We apply it to the task of instance selection in distant supervision. Modeling the instan…

cs.CL2018★ 3 cited

Cross-relation Cross-bag Attention for Distantly-supervised Relation Extraction

Yujin Yuan, Liyuan Liu, Siliang Tang +5

Distant supervision leverages knowledge bases to automatically label instances, thus allowing us to train relation extractor without human annotations. However, the generated train…