Work

HiURE: Hierarchical Exemplar Contrastive Learning for Unsupervised Relation Extraction

Year: 2022

Type: conference-paper

Abstract: Shuliang Liu, Xuming Hu, Chenwei Zhang, Shu’ang Li, Lijie Wen, Philip Yu. Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies. 2022.

Source: Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (NAACL-HLT)

DOI: 10.18653/v1/2022.naacl-main.437

Authors: Shuliang Liu, Xuming Hu, Chenwei Zhang, Shu’ang Li, Lijie Wen, Philip Yu

Institutions: Tsinghua University, Amazon (United States), University of Illinois Chicago

Language: English

Topic: Topic Modeling

Subfield: Artificial Intelligence

Field: Computer Science

Domain: Physical Sciences

Open Access status: hybrid

Funders: National Science Foundation, National Natural Science Foundation of China, National Key Research and Development Program of China

Awards: III: Small: Exploiting the Massive User Generated Utterances for Intent Mining under Scarce Annotations, III: Medium: Collaborative Research: An Extensible Heterogeneous Network Embedding Framework with Application Specific Adaptation, G322333164, III: Medium: Collaborative Research: Self-Supervised Recommender System Learning with Application Specific Adaption, G5068271239, G6180701633, G7091651887, SaTC: CORE: Small: Collaborative: Learning Dynamic and Robust Defenses Against Co-Adaptive Spammers

OpenAlex ID: W4229020587

FWCI: 3.471

Cites: 38

Cited by: 34

Related to: 10