--- title: "Who cites Eric Nichols" description: "528 papers of the Elamur Research library cite the works of Eric Nichols, found in their bibliographies · page 1 of 2; the most cited first." canonical: "https://research.elamur.ai/free/en/authors/eric-nichols/cited-by/" --- [Elamur Research](https://md.research.elamur.ai/free/en/) · [this page in HTML](https://research.elamur.ai/free/en/authors/eric-nichols/cited-by/) [home](https://md.research.elamur.ai/free/en/) / [authors](https://md.research.elamur.ai/free/en/authors/) / [Eric Nichols](https://md.research.elamur.ai/free/en/authors/eric-nichols/) / cited by # Who cites Eric Nichols 555 citations of their works from 528 papers of our library (of the 140 884 whose bibliographies we read) · 40 with a page here, the most cited first · page 1 of 2 · [← Eric Nichols](https://md.research.elamur.ai/free/en/authors/eric-nichols/) **1** [2](https://md.research.elamur.ai/free/en/authors/eric-nichols/cited-by/page/2/) [next →](https://md.research.elamur.ai/free/en/authors/eric-nichols/cited-by/page/2/) - [Deep Contextualized Word Representations](https://md.research.elamur.ai/free/en/papers/peters-2018-deep-contextualized-word-representations/) — Matthew E. Peters, Mark Neumann, Mohit Iyyer, et al. · 2018 · 3 240 citations - [BERTweet: A pre-trained language model for English Tweets](https://md.research.elamur.ai/free/en/papers/nguyen-2020-bertweet-pre-trained-language-model/) — Dat Quoc Nguyen, Thanh Vu, Anh Tuan Nguyen · 2020 · 1 139 citations - [Encoding Sentences with Graph Convolutional Networks for Semantic Role Labeling](https://md.research.elamur.ai/free/en/papers/marcheggiani-2017-encoding-sentences-graph-convolutional-networks/) — Diego Marcheggiani, Ivan Titov · 2017 · 1 101 citations - [Neural Architectures for Named Entity Recognition](https://md.research.elamur.ai/free/en/papers/lample-2016-neural-architectures-named-entity-recognition/) — Guillaume Lample, Miguel Ballesteros, Sandeep Subramanian, et al. · 2016 · 1 021 citations - [Simple and Accurate Dependency Parsing Using Bidirectional LSTM Feature Representations](https://md.research.elamur.ai/free/en/papers/narrative-2016-kiperwasser-simple-accurate-dependency-parsing-bidirectional/) — Eliyahu Kiperwasser, Yoav Goldberg · 2016 · 903 citations - [Joint Extraction of Entities and Relations Based on a Novel Tagging Scheme](https://md.research.elamur.ai/free/en/papers/zheng-2017-joint-extraction-entities-relations-based/) — Suncong Zheng, Feng Wang, Hongyun Bao, et al. · 2017 · 902 citations - [End-to-end Sequence Labeling via Bi-directional LSTM-CNNs-CRF](https://md.research.elamur.ai/free/en/papers/ma-2016-end-end-sequence-labeling-bi/) — Xuezhe Ma, Eduard Hovy · 2016 · 852 citations - [A Unified MRC Framework for Named Entity Recognition](https://md.research.elamur.ai/free/en/papers/li-2020-unified-mrc-framework-named-entity/) — Xiaoya Li, Jingrong Feng, Yuxian Meng, et al. · 2020 · 833 citations - [Semi-supervised sequence tagging with bidirectional language models](https://md.research.elamur.ai/free/en/papers/peters-2017-semi-supervised-sequence-tagging-bidirectional/) — Matthew E. Peters, Waleed Ammar, Chandra Bhagavatula, et al. · 2017 · 786 citations - [Harnessing Deep Neural Networks with Logic Rules](https://md.research.elamur.ai/free/en/papers/hu-2016-harnessing-deep-neural-networks-logic/) — Zhiting Hu, Xuezhe Ma, Zhengzhong Liu, et al. · 2016 · 619 citations - [A Joint Neural Model for Information Extraction with Global Features](https://md.research.elamur.ai/free/en/papers/lin-2020-joint-neural-model-information-extraction/) — Ying Lin, Heng Ji, Fei Huang, et al. · 2020 · 600 citations - [Named Entity Recognition as Dependency Parsing](https://md.research.elamur.ai/free/en/papers/yu-2020-named-entity-recognition-as-dependency/) — Juntao Yu, Bernd Bohnet, Massimo Poesio · 2020 · 594 citations - [A Survey on Recent Advances in Named Entity Recognition from Deep Learning models](https://md.research.elamur.ai/free/en/papers/yadav-2018-survey-recent-advances-named-entity/) — Vikas Yadav, Steven Bethard · 2018 · 565 citations - [Fast and Accurate Entity Recognition with Iterated Dilated Convolutions](https://md.research.elamur.ai/free/en/papers/strubell-2017-fast-accurate-entity-recognition-iterated/) — Emma Strubell, Patrick Verga, David Belanger, et al. · 2017 · 544 citations - [Semi-Supervised Sequence Modeling with Cross-View Training](https://md.research.elamur.ai/free/en/papers/clark-2018-semi-supervised-sequence-modeling-cross/) — Kevin Clark, Minh-Thang Luong, Christopher D. Manning, et al. · 2018 · 489 citations - [GPT-NER: Named Entity Recognition via Large Language Models](https://md.research.elamur.ai/free/en/papers/wang-2025-gpt-ner-named-entity-recognition/) — Shuhe Wang, Xiaofei Sun, Xiaoya Li, et al. · 2025 · 436 citations - [Template-Based Named Entity Recognition Using BART](https://md.research.elamur.ai/free/en/papers/cui-2021-template-based-named-entity-recognition/) — Leyang Cui, Yu Wu, Jian Liu, et al. · 2021 · 420 citations - [Empower Sequence Labeling with Task-Aware Neural Language Model](https://md.research.elamur.ai/free/en/papers/liu-2017-empower-sequence-labeling-task-aware/) — Liyuan Liu, Jingbo Shang, Frank F. Xu, et al. · 2017 · 419 citations - [ChatGPT Beyond English: Towards a Comprehensive Evaluation of Large Language Models in Multilingual Learning](https://md.research.elamur.ai/free/en/papers/lai-2023-chatgpt-beyond-english-comprehensive-evaluation/) — Viet Dac Lai, Nghia Ngo, Amir Pouran Ben Veyseh, et al. · 2023 · 418 citations - [A Unified Generative Framework for Various NER Subtasks](https://md.research.elamur.ai/free/en/papers/yan-2021-unified-generative-framework-various-ner/) — Hang Yan, Tao Gui, Junqi Dai, et al. · 2021 · 392 citations - [Pooled Contextualized Embeddings for Named Entity Recognition](https://md.research.elamur.ai/free/en/papers/akbik-2019-pooled-contextualized-embeddings-named-entity/) — Alan Akbik, Tanja Bergmann, Roland Vollgraf · 2019 · 385 citations - [Few-NERD: A Few-shot Named Entity Recognition Dataset](https://md.research.elamur.ai/free/en/papers/ding-2021-few-nerd-few-shot-named/) — Ning Ding, Guangwei Xu, Yulin Chen, et al. · 2021 · 334 citations - [Simple and Effective Few-Shot Named Entity Recognition with Structured Nearest Neighbor Learning](https://md.research.elamur.ai/free/en/papers/yang-2020-simple-effective-few-shot-named/) — Yi Yang, Arzoo Katiyar · 2020 · 291 citations - [Few-shot Slot Tagging with Collapsed Dependency Transfer and Label-enhanced Task-adaptive Projection Network](https://md.research.elamur.ai/free/en/papers/hou-2020-few-shot-slot-tagging-collapsed/) — Yutai Hou, Wanxiang Che, Yongkui Lai, et al. · 2020 · 265 citations - [BPEmb: Tokenization-free Pre-trained Subword Embeddings in 275 Languages](https://md.research.elamur.ai/free/en/papers/heinzerling-2018-bpemb-tokenization-free-pre-trained/) — Benjamin Heinzerling, Michael Strube · 2018 · 256 citations **1** [2](https://md.research.elamur.ai/free/en/authors/eric-nichols/cited-by/page/2/) [next →](https://md.research.elamur.ai/free/en/authors/eric-nichols/cited-by/page/2/)