A Little Annotation does a Lot of Good: A Study in Bootstrapping
Low-resource Named Entity Recognizers

A Little Annotation does a Lot of Good: A Study in Bootstrapping Low-resource Named Entity Recognizers

23 August 2019

Aditi Chaudhary

Zaid A. W. Sheikh

Graham Neubig

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Papers citing "A Little Annotation does a Lot of Good: A Study in Bootstrapping Low-resource Named Entity Recognizers"

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Title
Uncertainty in Natural Language Processing: Sources, Quantification, and Applications Mengting Hu Zhen Zhang Shiwan Zhao Minlie Huang Bingzhe Wu BDL 103 39 0 05 Jun 2023
Data-efficient Active Learning for Structured Prediction with Partial Annotation and Self-Training Zhisong Zhang Emma Strubell Eduard H. Hovy 77 1 0 22 May 2023
Cross-lingual German Biomedical Information Extraction: from Zero-shot to Human-in-the-Loop Siting Liang Mareike Hartmann Daniel Sonntag 50 3 0 24 Jan 2023
A Survey of Active Learning for Natural Language Processing Zhisong Zhang Emma Strubell Eduard H. Hovy LM&MA 96 68 0 18 Oct 2022
A Closer Look at Few-Shot Crosslingual Transfer: The Choice of Shots Matters Mengjie Zhao Yi Zhu Ehsan Shareghi Ivan Vulić Roi Reichart Anna Korhonen Hinrich Schütze 112 64 0 31 Dec 2020
Reducing Confusion in Active Learning for Part-Of-Speech Tagging Aditi Chaudhary Antonios Anastasopoulos Zaid A. W. Sheikh Graham Neubig 67 19 0 02 Nov 2020
Building Low-Resource NER Models Using Non-Speaker Annotation Tatiana Tsygankova F. Marini Stephen D. Mayhew Dan Roth 71 6 0 17 Jun 2020
Language Transfer for Early Warning of Epidemics from Social Media Mattias Appelgren Patrick Schrempf Matús Falis Satoshi Ikeda Alison Q. OÑeil 35 1 0 10 Oct 2019
A Survey on Deep Learning for Named Entity Recognition Junlin Li Aixin Sun Jianglei Han Chenliang Li 3DV 110 1,173 0 22 Dec 2018