---
title: "Who cites A Dependency Parser for Tweets"
description: "91 papers of the Elamur Research library cite «A Dependency Parser for Tweets», found in their bibliographies; the most cited first."
canonical: "https://research.elamur.ai/free/en/papers/kong-2014-dependency-parser-tweets/cited-by/"
---
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[home](https://md.research.elamur.ai/free/en/) / [papers](https://md.research.elamur.ai/free/en/papers/) / [A Dependency Parser for Tweets](https://md.research.elamur.ai/free/en/papers/kong-2014-dependency-parser-tweets/) / cited by

# Who cites «A Dependency Parser for Tweets»

91 papers of our library cite it (of the 140,884 whose bibliographies we read) · 14 with a page here, the most cited first · [← the paper](https://md.research.elamur.ai/free/en/papers/kong-2014-dependency-parser-tweets/)

1. [**Two/Too Simple Adaptations of Word2Vec for Syntax Problems**Wang Ling, Chris Dyer, Alan W. Black, et al.*2015 · 504 citations*](https://md.research.elamur.ai/free/en/papers/ling-2015-two-too-simple-adaptations-word2vec/)
2. [**Demographic Dialectal Variation in Social Media: A Case Study of African-American English**Su Lin Blodgett, Lisa Green, Brendan O'Connor*2016 · 470 citations*](https://md.research.elamur.ai/free/en/papers/blodgett-2016-demographic-dialectal-variation-social-media/)
3. [**That's So Annoying!!!: A Lexical and Frame-Semantic Embedding Based Data Augmentation Approach to Automatic Categorization of Annoying Behaviors using #petpeeve Tweets**William Yang Wang, Diyi Yang*2015 · 391 citations*](https://md.research.elamur.ai/free/en/papers/wang-2015-that-s-so-annoying-lexical/)
4. [**Shared Tasks of the 2015 Workshop on Noisy User-generated Text: Twitter Lexical Normalization and Named Entity Recognition**Timothy Baldwin, Marie Catherine de Marneffe, Bo Han, et al.*2015 · 287 citations*](https://md.research.elamur.ai/free/en/papers/baldwin-2015-shared-tasks-2015-workshop-noisy/)
5. [**MTNT: A Testbed for Machine Translation of Noisy Text**Paul Michel, Graham Neubig*2018 · 224 citations*](https://md.research.elamur.ai/free/en/papers/michel-2018-mtnt-testbed-machine-translation-noisy/)
6. [**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/)
7. [**SemEval-2016 Task 10: Detecting Minimal Semantic Units and their Meanings (DiMSUM)**Nathan Schneider, Dirk Hovy, Anders Johannsen, et al.*2016 · 100 citations*](https://md.research.elamur.ai/free/en/papers/schneider-2016-semeval-2016-task-10-detecting/)
8. [**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/)
9. [**Frame-Semantic Role Labeling with Heterogeneous Annotations**Meghana Kshirsagar, Sam Thomson, Nathan Schneider, et al.*2015 · 88 citations*](https://md.research.elamur.ai/free/en/papers/kshirsagar-2015-frame-semantic-role-labeling-heterogeneous/)
10. [**From Shakespeare to Twitter: What are Language Styles all about?**Wei Xu*2017 · 29 citations*](https://md.research.elamur.ai/free/en/papers/xu-2017-shakespeare-twitter-what-are-language/)
11. [**The Denoised Web Treebank: Evaluating Dependency Parsing under Noisy Input Conditions**Joachim Daiber, Rob van der Goot*2016 · 19 citations*](https://md.research.elamur.ai/free/en/papers/daiber-2016-denoised-web-treebank-evaluating-dependency/)
12. [**An Evaluation of Parser Robustness for Ungrammatical Sentences**Homa B. Hashemi, Rebecca Hwa*2016 · 18 citations*](https://md.research.elamur.ai/free/en/papers/hashemi-2016-evaluation-parser-robustness-ungrammatical-sentences/)
13. [**On Grammaticality in the Syntactic Annotation of Learner Language**Markus Dickinson, Marwa Ragheb*2015 · 8 citations*](https://md.research.elamur.ai/free/en/papers/dickinson-2015-grammaticality-syntactic-annotation-learner-language/)
14. [**Dependency Parsing Evaluation for Low-resource Spontaneous Speech**Zoey Liu, Emily Prud'hommeaux*2021 · 6 citations*](https://md.research.elamur.ai/free/en/papers/liu-2021-dependency-parsing-evaluation-low-resource/)

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

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