---
title: "Who cites Parsing Tweets into Universal Dependencies"
description: "The papers of the Elamur Research library that cite «Parsing Tweets into Universal Dependencies», found in their bibliographies."
canonical: "https://research.elamur.ai/free/en/papers/ud-2018-liu-parsing-tweets-into-universal-dependencies/cited-by/"
---
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[home](https://md.research.elamur.ai/free/en/) / [papers](https://md.research.elamur.ai/free/en/papers/) / [Parsing Tweets into Universal Dependencies](https://md.research.elamur.ai/free/en/papers/ud-2018-liu-parsing-tweets-into-universal-dependencies/) / cited by

# Who cites «Parsing Tweets into Universal Dependencies»

49 papers of our library cite it, newest first: found in their bibliographies, which we read ourselves. [← the card](https://md.research.elamur.ai/free/en/papers/ud-2018-liu-parsing-tweets-into-universal-dependencies/)

1. [TækTåk: Syntactic Analysis of Language Use on Danish TikTok](https://aclanthology.org/2026.lrec-1.902/) *— 2026 · Proceedings of the Fifteenth Language Resources and Evaluation Conference*
2. [OpenNER 1.0: Standardized Open-Access Named Entity Recognition Datasets in 50+ Languages](https://aclanthology.org/2025.emnlp-main.1708/) *— 2025 · Proceedings of the 2025 Conference on Empirical Methods in Natural Language Processing*
3. [Bits and Pieces: Investigating the Effects of Subwords in Multi-task Parsing across Languages and Domains](https://aclanthology.org/2024.lrec-main.215/) *— 2024 · Proceedings of the 2024 Joint International Conference on Computational Linguistics, Language Resources and Evaluation (LREC-COLING 2024)*
4. [Linguistic Rule Induction Improves Adversarial and OOD Robustness in Large Language Models](https://aclanthology.org/2024.lrec-main.924/) *— 2024 · Proceedings of the 2024 Joint International Conference on Computational Linguistics, Language Resources and Evaluation (LREC-COLING 2024)*
5. [Revisiting Supervised Contrastive Learning for Microblog Classification](https://aclanthology.org/2024.emnlp-main.876/) *— 2024 · Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing*
6. [Sebastian, Basti, Wastl?! Recognizing Named Entities in Bavarian Dialectal Data](https://aclanthology.org/2024.lrec-main.1262/) *— 2024 · Proceedings of the 2024 Joint International Conference on Computational Linguistics, Language Resources and Evaluation (LREC-COLING 2024)*
7. [DanTok: Domain Beats Language for Danish Social Media POS Tagging](https://aclanthology.org/2023.nodalida-1.27/) *— 2023 · Proceedings of the 24th Nordic Conference on Computational Linguistics (NoDaLiDa)*
8. [Data-driven Parsing Evaluation for Child-Parent Interactions](https://md.research.elamur.ai/free/en/papers/ud-2023-liu-data-driven-parsing-evaluation-child/) *— our card · 2023*
9. [Data-efficient Active Learning for Structured Prediction with Partial Annotation and Self-Training](https://aclanthology.org/2023.findings-emnlp.865/) *— 2023 · Findings of the Association for Computational Linguistics: EMNLP 2023*
10. [Em Direção à Anotação Sintatica - UD de Tweets do Mercado Financeiro](https://aclanthology.org/2023.udfestbr-1.9/) *— 2023 · Proceedings of the 2nd Edition of the Universal Dependencies Brazilian Festival*
11. [Subspace Chronicles: How Linguistic Information Emerges, Shifts and Interacts during Language Model Training](https://aclanthology.org/2023.findings-emnlp.879/) *— 2023 · Findings of the Association for Computational Linguistics: EMNLP 2023*
12. [UD-MULTIGENRE – a UD-Based Dataset Enriched with Instance-Level Genre Annotations](https://aclanthology.org/2023.mrl-1.19/) *— 2023 · Proceedings of the 3rd Workshop on Multi-lingual Representation Learning (MRL)*
13. [Unsupervised Domain Adaptation using Lexical Transformations and Label Injection for Twitter Data](https://aclanthology.org/2023.wassa-1.17/) *— 2023 · Proceedings of the 13th Workshop on Computational Approaches to Subjectivity, Sentiment, & Social Media Analysis*
14. [Annotating the Tweebank Corpus on Named Entity Recognition and Building NLP Models for Social Media Analysis](https://aclanthology.org/2022.lrec-1.780/) *— 2022 · Proceedings of the Thirteenth Language Resources and Evaluation Conference*
15. [Out-of-Domain Evaluation of Finnish Dependency Parsing](https://aclanthology.org/2022.lrec-1.120/) *— 2022 · Proceedings of the Thirteenth Language Resources and Evaluation Conference*
16. [TWEETSPIN: Fine-grained Propaganda Detection in Social Media Using Multi-View Representations](https://aclanthology.org/2022.naacl-main.251/) *— 2022 · Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies*
17. [TransPOS: Transformers for Consolidating Different POS Tagset Datasets](https://aclanthology.org/2022.wnut-1.9/) *— 2022 · Proceedings of the Eighth Workshop on Noisy User-generated Text (W-NUT 2022)*
18. [TwittIrish: A Universal Dependencies Treebank of Tweets in Modern Irish](https://aclanthology.org/2022.acl-long.473/) *— 2022 · Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)*
19. [Weakly Supervised Headline Dependency Parsing](https://aclanthology.org/2022.findings-emnlp.487/) *— 2022 · Findings of the Association for Computational Linguistics: EMNLP 2022*
20. [Automated Concatenation of Embeddings for Structured Prediction](https://aclanthology.org/2021.acl-long.206/) *— 2021 · Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing (Volume 1: Long Papers)*
21. [Challenges in Annotating and Parsing Spoken, Code-switched, Frisian-Dutch Data](https://aclanthology.org/2021.adaptnlp-1.6/) *— 2021 · Proceedings of the Second Workshop on Domain Adaptation for NLP*
22. [Cross-Register Projection for Headline Part of Speech Tagging](https://aclanthology.org/2021.emnlp-main.521/) *— 2021 · Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing*
23. [Dependency Parsing Evaluation for Low-resource Spontaneous Speech](https://md.research.elamur.ai/free/en/papers/ud-2021-liu-dependency-parsing-evaluation-low-resource/) *— our card · 2021 · Proceedings of the Second Workshop on Domain Adaptation for NLP*
24. [Descrião Preliminar do Corpus DANTEStocks: Diretrizes de Segmentação para Anotação segundo Universal Dependencies](https://aclanthology.org/2021.stil-1.36/) *— 2021 · Proceedings of the 13th Brazilian Symposium in Information and Human Language Technology*
25. [Guideline Bias in Wizard-of-Oz Dialogues](https://aclanthology.org/2021.bppf-1.2/) *— 2021 · Proceedings of the 1st Workshop on Benchmarking: Past, Present and Future*
26. [IndoBERTweet: A Pretrained Language Model for Indonesian Twitter with Effective Domain-Specific Vocabulary Initialization](https://aclanthology.org/2021.emnlp-main.833/) *— 2021 · Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing*
27. [Massive Choice, Ample Tasks (MaChAmp): A Toolkit for Multi-task Learning in NLP](https://aclanthology.org/2021.eacl-demos.22/) *— 2021 · Proceedings of the 16th Conference of the European Chapter of the Association for Computational Linguistics: System Demonstrations*
28. [Monotonicity Marking from Universal Dependency Trees](https://aclanthology.org/2021.iwcs-1.12/) *— 2021 · Proceedings of the 14th International Conference on Computational Semantics (IWCS)*
29. [MultiLexNorm: A Shared Task on Multilingual Lexical Normalization](https://aclanthology.org/2021.wnut-1.55/) *— 2021 · Proceedings of the Seventh Workshop on Noisy User-generated Text (W-NUT 2021)*
30. [On the Hidden Negative Transfer in Sequential Transfer Learning for Domain Adaptation from News to Tweets](https://aclanthology.org/2021.adaptnlp-1.14/) *— 2021 · Proceedings of the Second Workshop on Domain Adaptation for NLP*
31. [Situation-Based Multiparticipant Chat Summarization: a Concept, an Exploration-Annotation Tool and an Example Collection](https://aclanthology.org/2021.acl-srw.14/) *— 2021 · Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing: Student Research Workshop*
32. [An Annotated Social Media Corpus for German](https://aclanthology.org/2020.lrec-1.752/) *— 2020 · Proceedings of the Twelfth Language Resources and Evaluation Conference*
33. [BERTweet: A pre-trained language model for English Tweets](https://arxiv.org/abs/2005.10200) *— 2020 · arXiv:2005.10200*
34. [Cross-Lingual Domain Adaptation for Dependency Parsing](https://aclanthology.org/2020.tlt-1.6/) *— 2020 · Proceedings of the 19th International Workshop on Treebanks and Linguistic Theories*
35. [Multilingual Irony Detection with Dependency Syntax and Neural Models](https://aclanthology.org/2020.coling-main.116/) *— 2020 · Proceedings of the 28th International Conference on Computational Linguistics*
36. [NUT-RC: Noisy User-generated Text-oriented Reading Comprehension](https://aclanthology.org/2020.coling-main.242/) *— 2020 · Proceedings of the 28th International Conference on Computational Linguistics*
37. [Norm It! Lexical Normalization for Italian and Its Downstream Effects for Dependency Parsing](https://aclanthology.org/2020.lrec-1.769/) *— 2020 · Proceedings of the Twelfth Language Resources and Evaluation Conference*
38. [Treebanking User-Generated Content: A Proposal for a Unified Representation in Universal Dependencies](https://aclanthology.org/2020.lrec-1.645/) *— 2020 · Proceedings of the Twelfth Language Resources and Evaluation Conference*
39. [Bayesian Learning for Neural Dependency Parsing](https://aclanthology.org/N19-1354/) *— 2019 · Proceedings of the 2019 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, Volume 1 (Long and Short Papers)*
40. [Dependency Parsing for Spoken Dialog Systems](https://md.research.elamur.ai/free/en/papers/ud-2019-davidson-dependency-parsing-spoken-dialog-systems/) *— our card · 2019 · Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing (EMNLP-IJCNLP)*
41. [Exploration de l'apprentissage par transfert pour l'analyse de textes des réseaux sociaux (Exploring neural transfer learning for social media text analysis )](https://aclanthology.org/2019.jeptalnrecital-court.15/) *— 2019 · Actes de la Conférence sur le Traitement Automatique des Langues Naturelles (TALN) PFIA 2019. Volume II : Articles courts*
42. [Joint Learning of Pre-Trained and Random Units for Domain Adaptation in Part-of-Speech Tagging](https://aclanthology.org/N19-1416/) *— 2019 · Proceedings of the 2019 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, Volume 1 (Long and Short Papers)*
43. [Presenting TWITTIRÒ-UD: An Italian Twitter Treebank in Universal Dependencies](https://aclanthology.org/W19-7723/) *— 2019 · Proceedings of the Fifth International Conference on Dependency Linguistics (Depling, SyntaxFest 2019)*
44. [tweeDe – A Universal Dependencies treebank for German tweets](https://aclanthology.org/W19-7811/) *— 2019 · Proceedings of the 18th International Workshop on Treebanks and Linguistic Theories (TLT, SyntaxFest 2019)*
45. [Modeling Input Uncertainty in Neural Network Dependency Parsing](https://aclanthology.org/D18-1542/) *— 2018 · Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing*
46. [Multi-Source Domain Adaptation with Mixture of Experts](https://aclanthology.org/D18-1498/) *— 2018 · Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing*
47. [Neural Transition Based Parsing of Web Queries: An Entity Based Approach](https://aclanthology.org/D18-1290/) *— 2018 · Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing*
48. [Towards Better UD Parsing: Deep Contextualized Word Embeddings, Ensemble, and Treebank Concatenation](https://aclanthology.org/K18-2005/) *— 2018 · Proceedings of the CoNLL 2018 Shared Task: Multilingual Parsing from Raw Text to Universal Dependencies*
49. [Twitter Universal Dependency Parsing for African-American and Mainstream American English](https://md.research.elamur.ai/free/en/papers/ud-2018-blodgett-twitter-universal-dependency-parsing-african/) *— our card · 2018 · Proceedings of the 56th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)*