---
title: "Who cites Burr Settles"
description: "449 papers of the Elamur Research library cite the works of Burr Settles, found in their bibliographies; the most cited first."
canonical: "https://research.elamur.ai/free/en/authors/burr-settles/cited-by/"
---
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# Who cites Burr Settles

449 citations of their works from 449 papers of our library (of the 140,884 whose bibliographies we read) · 13 with a page here, the most cited first · [← Burr Settles](https://md.research.elamur.ai/free/en/authors/burr-settles/)

1. [**A Survey on Recent Approaches for Natural Language Processing in Low-Resource Scenarios**Michael A. Hedderich, Lukas Lange, Heike Adel, et al.*2021 · 399 citations*](https://md.research.elamur.ai/free/en/papers/hedderich-2021-survey-recent-approaches-natural-language/)
2. [**Learning Named Entity Tagger using Domain-Specific Dictionary**Jingbo Shang, Liyuan Liu, Xiaotao Gu, et al.*2018 · 301 citations*](https://md.research.elamur.ai/free/en/papers/shang-2018-learning-named-entity-tagger-domain/)
3. [**Want To Reduce Labeling Cost? GPT-3 Can Help**Shuohang Wang, Yang Liu, Yichong Xu, et al.*2021 · 298 citations*](https://md.research.elamur.ai/free/en/papers/wang-2021-want-reduce-labeling-cost-gpt/)
4. [**Feature Forest Models for Probabilistic HPSG Parsing**Yusuke Miyao, Jun'ichi Tsujii*2008 · 279 citations*](https://md.research.elamur.ai/free/en/papers/miyao-2008-feature-forest-models-probabilistic-hpsg/)
5. [**Beyond neural scaling laws: beating power law scaling via data pruning**Ben Sorscher, Robert Geirhos, Shashank Shekhar, et al.*2022 · 220 citations*](https://md.research.elamur.ai/free/en/papers/sorscher-2022-neural-scaling-laws-beating-power/)
6. [**Active Example Selection for In-Context Learning**Yiming Zhang, Shi Feng, Chenhao Tan*2022 · 207 citations*](https://md.research.elamur.ai/free/en/papers/zhang-2022-active-example-selection-context-learning/)
7. [**Using active learning to expand training data for implicit discourse relation recognition**Yang Xu, Yu Hong, Huibin Ruan, et al.*2018 · 42 citations*](https://md.research.elamur.ai/free/en/papers/xu-2018-active-learning-expand-training-data/)
8. [**Removing the Training Wheels: A Coreference Dataset that Entertains Humans and Challenges Computers**Anupam Guha, Mohit Iyyer, Danny Bouman, et al.*2015 · 39 citations*](https://md.research.elamur.ai/free/en/papers/guha-2015-removing-training-wheels-coreference-dataset/)
9. [**Active Learning for Coreference Resolution using Discrete Annotation**Belinda Z. Li, Gabriel Stanovsky, Luke Zettlemoyer*2020 · 36 citations*](https://md.research.elamur.ai/free/en/papers/li-2020-active-learning-coreference-resolution-discrete/)
10. [**Adapting Coreference Resolution Models through Active Learning**Michelle Yuan, Patrick Xia, Chandler May, et al.*2022 · 35 citations*](https://md.research.elamur.ai/free/en/papers/yuan-2022-adapting-coreference-resolution-models-through/)
11. [**CCASH: A Web Application Framework for Efficient, Distributed Language Resource Development**Paul Felt, Owen Merkling, Marc Carmen, et al.*2010 · 10 citations*](https://md.research.elamur.ai/free/en/papers/felt-2010-ccash-web-application-framework-efficient/)
12. [**Multi-task Learning with Active Learning for Arabic Offensive Speech Detection**Aisha Alansari, Hamzah Luqman*2025 · 2 citations*](https://md.research.elamur.ai/free/en/papers/alansari-2025-multi-task-learning-active-learning/)
13. [**Supervised Contrastive Fine-Tuning for Active Few-Shot Learning**Zirui Zhang, Lei Ge, Shengyu Qiao*2026*](https://md.research.elamur.ai/free/en/papers/zhang-2026-supervised-contrastive-fine-tuning-active/)

436 more citing papers of our library have no page here yet.

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