---
title: "Who cites Twitter Part-of-Speech Tagging for All…"
description: "71 papers of the Elamur Research library cite «Twitter Part-of-Speech Tagging for All: Overcoming Sparse and Noisy Data», found in their bibliographies…"
canonical: "https://research.elamur.ai/free/en/papers/derczynski-2013-twitter-part-speech-tagging-all/cited-by/"
---
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[home](https://md.research.elamur.ai/free/en/) / [papers](https://md.research.elamur.ai/free/en/papers/) / [Twitter Part-of-Speech Tagging for All…](https://md.research.elamur.ai/free/en/papers/derczynski-2013-twitter-part-speech-tagging-all/) / cited by

# Who cites «Twitter Part-of-Speech Tagging for All: Overcoming Sparse and Noisy Data»

71 papers of our library cite it (of the 140,884 whose bibliographies we read) · 11 with a page here, the most cited first · [← the paper](https://md.research.elamur.ai/free/en/papers/derczynski-2013-twitter-part-speech-tagging-all/)

1. [**TweetEval: Unified Benchmark and Comparative Evaluation for Tweet Classification**Francesco Barbieri, Jose Camacho-Collados, Leonardo Neves, et al.*2020 · 952 citations*](https://md.research.elamur.ai/free/en/papers/barbieri-2020-tweeteval-unified-benchmark-comparative-evaluation/)
2. [**XLM-T: Multilingual Language Models in Twitter for Sentiment Analysis and Beyond**Francesco Barbieri, Luis Espinosa Anke, Jose Camacho-Collados*2022 · 271 citations*](https://md.research.elamur.ai/free/en/papers/barbieri-2022-xlm-t-multilingual-language-models/)
3. [**SemEval-2015 Task 1: Paraphrase and Semantic Similarity in Twitter (PIT)**Wei Xu, Chris Callison-Burch, Bill Dolan*2015 · 230 citations*](https://md.research.elamur.ai/free/en/papers/xu-2015-semeval-2015-task-1-paraphrase/)
4. [**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/)
5. [**Parsing Tweets into Universal Dependencies**Yijia Liu, Yi Zhu, Wanxiang Che, et al.*2018 · 121 citations*](https://md.research.elamur.ai/free/en/papers/liu-2018-parsing-tweets-into-universal-dependencies/)
6. [**Modelling Irony in Twitter**Francesco Barbieri, Horacio Saggion*2014 · 104 citations*](https://md.research.elamur.ai/free/en/papers/barbieri-2014-modelling-irony-twitter/)
7. [**Twitter Universal Dependency Parsing for African-American and Mainstream American English**Su Lin Blodgett, Johnny Wei, Brendan O'Connor*2018 · 92 citations*](https://md.research.elamur.ai/free/en/papers/blodgett-2018-twitter-universal-dependency-parsing-african/)
8. [**Noise-Robust Morphological Disambiguation for Dialectal Arabic**Nasser Zalmout, Alexander Erdmann, Nizar Habash*2018 · 42 citations*](https://md.research.elamur.ai/free/en/papers/zalmout-2018-noise-robust-morphological-disambiguation-dialectal/)
9. [**Now We Stronger than Ever: African-American English Syntax in Twitter**Ian Stewart*2014 · 25 citations*](https://md.research.elamur.ai/free/en/papers/stewart-2014-now-we-stronger-than-ever/)
10. [**AMALGUM – A Free, Balanced, Multilayer English Web Corpus**Luke Gessler, Siyao Peng, Yang Liu, et al.*2020 · 16 citations*](https://md.research.elamur.ai/free/en/papers/gessler-2020-amalgum-free-balanced-multilayer-english/)
11. [**Fast and Robust POS tagger for Arabic Tweets Using Agreement-based Bootstrapping**Fahad Albogamy, Allan Ramsay*2016 · 11 citations*](https://md.research.elamur.ai/free/en/papers/albogamy-2016-fast-robust-pos-tagger-arabic/)

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

- [← back to](https://md.research.elamur.ai/free/en/papers/derczynski-2013-twitter-part-speech-tagging-all/) — Twitter Part-of-Speech Tagging for All: Overcoming Sparse and Noisy Data