---
title: "Who cites Part-of-Speech Tagging from 97% to 100%: Is It…"
description: "102 papers of the Elamur Research library cite «Part-of-Speech Tagging from 97% to 100%: Is It Time for Some Linguistics?», found in their…"
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---
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[home](https://md.research.elamur.ai/free/en/) / [papers](https://md.research.elamur.ai/free/en/papers/) / [Part-of-Speech Tagging from 97% to 100%: Is It…](https://md.research.elamur.ai/free/en/papers/manning-2011-part-speech-tagging-97-100/) / cited by

# Who cites «Part-of-Speech Tagging from 97% to 100%: Is It Time for Some Linguistics?»

102 papers of our library cite it (of the 140,884 whose bibliographies we read) · 15 with a page here, the most cited first · [← the paper](https://md.research.elamur.ai/free/en/papers/manning-2011-part-speech-tagging-97-100/)

1. [**End-to-end Sequence Labeling via Bi-directional LSTM-CNNs-CRF**Xuezhe Ma, Eduard Hovy*2016 · 852 citations*](https://md.research.elamur.ai/free/en/papers/ma-2016-end-end-sequence-labeling-bi/)
2. [**XTREME: A Massively Multilingual Multi-task Benchmark for Evaluating Cross-lingual Generalization**Junjie Hu, Sebastian Ruder, Aditya Siddhant, et al.*2020 · 551 citations*](https://md.research.elamur.ai/free/en/papers/hu-2020-xtreme-massively-multilingual-multi-task/)
3. [**A Universal Part-of-Speech Tagset**Slav Petrov, Dipanjan Das, Ryan McDonald*2012 · 457 citations*](https://md.research.elamur.ai/free/en/papers/petrov-2012-universal-part-speech-tagset/)
4. [**Empower Sequence Labeling with Task-Aware Neural Language Model**Liyuan Liu, Jingbo Shang, Frank F. Xu, et al.*2017 · 419 citations*](https://md.research.elamur.ai/free/en/papers/liu-2017-empower-sequence-labeling-task-aware/)
5. [**The “Problem” of Human Label Variation: On Ground Truth in Data, Modeling and Evaluation**Barbara Plank*2022 · 364 citations*](https://md.research.elamur.ai/free/en/papers/plank-2022-problem-human-label-variation-ground/)
6. [**Twitter Part-of-Speech Tagging for All: Overcoming Sparse and Noisy Data**Leon Derczynski, Alan Ritter, Sam Clark, et al.*2013 · 316 citations*](https://md.research.elamur.ai/free/en/papers/derczynski-2013-twitter-part-speech-tagging-all/)
7. [**Finding Function in Form: Compositional Character Models for Open Vocabulary Word Representation**Wang Ling, Tiago Luis, Luis Marujo, et al.*2015 · 301 citations*](https://md.research.elamur.ai/free/en/papers/ling-2015-finding-function-form-compositional-character/)
8. [**Multilingual Part-of-Speech Tagging with Bidirectional Long Short-Term Memory Models and Auxiliary Loss**Barbara Plank, Anders Søgaard, Yoav Goldberg*2016 · 201 citations*](https://md.research.elamur.ai/free/en/papers/plank-2016-multilingual-part-speech-tagging-bidirectional/)
9. [**Learning part-of-speech taggers with inter-annotator agreement loss**Barbara Plank, Dirk Hovy, Anders Søgaard*2014 · 178 citations*](https://md.research.elamur.ai/free/en/papers/plank-2014-learning-part-speech-taggers-inter/)
10. [**Annotation Error Detection: Analyzing the Past and Present for a More Coherent Future**Jan-Christoph Klie, Bonnie Webber, Iryna Gurevych*2023 · 73 citations*](https://md.research.elamur.ai/free/en/papers/klie-2023-annotation-error-detection-analyzing-past/)
11. [**VariErr NLI: Separating Annotation Error from Human Label Variation**Leon Weber-Genzel, Siyao Peng, Marie-Catherine De Marneffe, et al.*2024 · 51 citations*](https://md.research.elamur.ai/free/en/papers/genzel-2024-varierr-nli-separating-annotation-error/)
12. [**An Accurate Arabic Root-Based Lemmatizer for Information Retrieval Purposes**Tarek El-Shishtawy, Fatma El-Ghannam*2012 · 30 citations*](https://md.research.elamur.ai/free/en/papers/el-shishtawy-2012-accurate-arabic-root-based-lemmatizer/)
13. [**Statistical Parsing by Machine Learning from a Classical Arabic Treebank**Kais Dukes*2015 · 27 citations*](https://md.research.elamur.ai/free/en/papers/dukes-2015-statistical-parsing-machine-learning-classical/)
14. [**Disambiguating Explicit Discourse Connectives without Oracles**Anders Johannsen, Anders Søgaard*2013 · 10 citations*](https://md.research.elamur.ai/free/en/papers/johannsen-2013-disambiguating-explicit-discourse-connectives-without/)
15. [**LLM as a Morphological Disambiguator for Belarusian: A Preliminary Study**Vladislav Poritski, Oksana Volchek, Ilia Afanasev*2026*](https://md.research.elamur.ai/free/en/papers/poritski-2026-llm-as-morphological-disambiguator-belarusian/)

87 more papers of our library cite it; they have no page here yet.

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