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# Who cites «A Dependency Parser for Tweets»

91 papers of our library cite it, newest first: found in their bibliographies, which we read ourselves. [← the card](https://md.mova.elamur.ai/free/en/docs/papers/aclbulk-2014-kong-dependency-parser-tweets/)

1. [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*
2. [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*
3. [TweetNLP: Cutting-Edge Natural Language Processing for Social Media](https://aclanthology.org/2022.emnlp-demos.5/) *— 2022 · Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing: System Demonstrations*
4. [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)*
5. [Dependency Parsing Evaluation for Low-resource Spontaneous Speech](https://md.mova.elamur.ai/free/en/docs/papers/ud-2021-liu-dependency-parsing-evaluation-low-resource/) *— our card · 2021 · Proceedings of the Second Workshop on Domain Adaptation for NLP*
6. [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*
7. [Efficient Computation of Expectations under Spanning Tree Distributions](https://aclanthology.org/2021.tacl-1.41/) *— 2021 · Transactions of the Association for Computational Linguistics*
8. [Abusive Language Detection using Syntactic Dependency Graphs](https://aclanthology.org/2020.alw-1.6/) *— 2020 · Proceedings of the Fourth Workshop on Online Abuse and Harms*
9. [Multilingual Twitter Corpus and Baselines for Evaluating Demographic Bias in Hate Speech Recognition](https://aclanthology.org/2020.lrec-1.180/) *— 2020 · Proceedings of the Twelfth Language Resources and Evaluation Conference*
10. [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*
11. [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*
12. [Incorporating Contextual and Syntactic Structures Improves Semantic Similarity Modeling](https://aclanthology.org/D19-1114/) *— 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)*
13. [Investigating Multilingual Abusive Language Detection: A Cautionary Tale](https://aclanthology.org/R19-1132/) *— 2019 · Proceedings of the International Conference on Recent Advances in Natural Language Processing (RANLP 2019)*
14. [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)*
15. [Semi-supervised Domain Adaptation for Dependency Parsing](https://aclanthology.org/P19-1229/) *— 2019 · Proceedings of the 57th Annual Meeting of the Association for Computational Linguistics*
16. [TWEETQA: A Social Media Focused Question Answering Dataset](https://aclanthology.org/P19-1496/) *— 2019 · Proceedings of the 57th Annual Meeting of the Association for Computational Linguistics*
17. [Tweet Classification without the Tweet: An Empirical Examination of User versus Document Attributes](https://aclanthology.org/W19-2103/) *— 2019 · Proceedings of the Third Workshop on Natural Language Processing and Computational Social Science*
18. [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)*
19. [Causal Explanation Analysis on Social Media](https://aclanthology.org/D18-1372/) *— 2018 · Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing*
20. [MTNT: A Testbed for Machine Translation of Noisy Text](https://aclanthology.org/D18-1050/) *— 2018 · Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing*
21. [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*
22. [Parsing Tweets into Universal Dependencies](https://md.mova.elamur.ai/free/en/docs/papers/ud-2018-liu-parsing-tweets-into-universal-dependencies/) *— our card · 2018 · Proceedings of the 2018 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, Volume 1 (Long Papers)*
23. [PoSTWITA-UD: an Italian Twitter Treebank in Universal Dependencies](https://aclanthology.org/L18-1279/) *— 2018 · Proceedings of the Eleventh International Conference on Language Resources and Evaluation (LREC 2018)*
24. [SemEval 2018 Task 4: Character Identification on Multiparty Dialogues](https://aclanthology.org/S18-1007/) *— 2018 · Proceedings of the 12th International Workshop on Semantic Evaluation*
25. [Twitter Universal Dependency Parsing for African-American and Mainstream American English](https://md.mova.elamur.ai/free/en/docs/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)*
26. [Universal Dependency Parsing for Hindi-English Code-Switching](https://aclanthology.org/N18-1090/) *— 2018 · Proceedings of the 2018 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, Volume 1 (Long Papers)*
27. [Annotating Italian Social Media Texts in Universal Dependencies](https://aclanthology.org/W17-6526/) *— 2017 · Proceedings of the Fourth International Conference on Dependency Linguistics (Depling 2017)*
28. [Deep Learning Models For Multiword Expression Identification](https://aclanthology.org/S17-1006/) *— 2017 · Proceedings of the 6th Joint Conference on Lexical and Computational Semantics (*SEM 2017)*
29. [From Shakespeare to Twitter: What are Language Styles all about?](https://md.mova.elamur.ai/free/en/docs/papers/xu-2017-shakespeare-twitter-what-are-language/) *— our card · 2017 · Proceedings of the Workshop on Stylistic Variation*
30. [Human Centered NLP with User-Factor Adaptation](https://aclanthology.org/D17-1119/) *— 2017 · Proceedings of the 2017 Conference on Empirical Methods in Natural Language Processing*
31. [Learning to Embed Words in Context for Syntactic Tasks](https://aclanthology.org/W17-2632/) *— 2017 · Proceedings of the 2nd Workshop on Representation Learning for NLP*
32. [Parser Adaptation for Social Media by Integrating Normalization](https://aclanthology.org/P17-2078/) *— 2017 · Proceedings of the 55th Annual Meeting of the Association for Computational Linguistics (Volume 2: Short Papers)*
33. [``i have a feeling trump will win..................'''': Forecasting Winners and Losers from User Predictions on Twitter](https://aclanthology.org/D17-1166/) *— 2017 · Proceedings of the 2017 Conference on Empirical Methods in Natural Language Processing*
34. [Active Learning for Dependency Parsing with Partial Annotation](https://aclanthology.org/P16-1033/) *— 2016 · Proceedings of the 54th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)*
35. [An Evaluation of Parser Robustness for Ungrammatical Sentences](https://md.mova.elamur.ai/free/en/docs/papers/aclbulk-2016-hashemi-evaluation-parser-robustness-ungrammatical-sentences/) *— our card · 2016 · Proceedings of the 2016 Conference on Empirical Methods in Natural Language Processing*
36. [BIRA: Improved Predictive Exchange Word Clustering](https://aclanthology.org/N16-1139/) *— 2016 · Proceedings of the 2016 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies*
37. [Demographic Dialectal Variation in Social Media: A Case Study of African-American English](https://aclanthology.org/D16-1120/) *— 2016 · Proceedings of the 2016 Conference on Empirical Methods in Natural Language Processing*
38. [ICL-HD at SemEval-2016 Task 10: Improving the Detection of Minimal Semantic Units and their Meanings with an Ontology and Word Embeddings](https://aclanthology.org/S16-1144/) *— 2016 · Proceedings of the 10th International Workshop on Semantic Evaluation (SemEval-2016)*
39. [IUCL at SemEval-2016 Task 6: An Ensemble Model for Stance Detection in Twitter](https://aclanthology.org/S16-1064/) *— 2016 · Proceedings of the 10th International Workshop on Semantic Evaluation (SemEval-2016)*
40. [Mapping Unseen Words to Task-Trained Embedding Spaces](https://aclanthology.org/W16-1612/) *— 2016 · Proceedings of the 1st Workshop on Representation Learning for NLP*
41. [Obfuscating Gender in Social Media Writing](https://aclanthology.org/W16-5603/) *— 2016 · Proceedings of the First Workshop on NLP and Computational Social Science*
42. [SemEval-2016 Task 10: Detecting Minimal Semantic Units and their Meanings (DiMSUM)](https://aclanthology.org/S16-1084/) *— 2016 · Proceedings of the 10th International Workshop on Semantic Evaluation (SemEval-2016)*
43. [Syntactic Parsing of Web Queries with Question Intent](https://aclanthology.org/N16-1081/) *— 2016 · Proceedings of the 2016 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies*
44. [The Denoised Web Treebank: Evaluating Dependency Parsing under Noisy Input Conditions](https://md.mova.elamur.ai/free/en/docs/papers/lingbulk-2016-daiber-denoised-web-treebank-evaluating-dependency/) *— our card · 2016 · Proceedings of the Tenth International Conference on Language Resources and Evaluation (LREC'16)*
45. [Tweet Acts: A Speech Act Classifier for Twitter](https://arxiv.org/abs/1605.05156) *— 2016 · arXiv:1605.05156*
46. [Component-Enhanced Chinese Character Embeddings](https://aclanthology.org/D15-1098/) *— 2015 · Proceedings of the 2015 Conference on Empirical Methods in Natural Language Processing*
47. [Developing Language-tagged Corpora for Code-switching Tweets](https://aclanthology.org/W15-1608/) *— 2015 · Proceedings of the 9th Linguistic Annotation Workshop*
48. [Foreebank: Syntactic Analysis of Customer Support Forums](https://aclanthology.org/D15-1157/) *— 2015 · Proceedings of the 2015 Conference on Empirical Methods in Natural Language Processing*
49. [Frame-Semantic Role Labeling with Heterogeneous Annotations](https://aclanthology.org/P15-2036/) *— 2015 · Proceedings of the 53rd Annual Meeting of the Association for Computational Linguistics and the 7th International Joint Conference on Natural Language Processing (Volume 2: Short Papers)*
50. [Learning Knowledge Graphs for Question Answering through Conversational Dialog](https://aclanthology.org/N15-1086/) *— 2015 · Proceedings of the 2015 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies*
51. [Minority Language Twitter: Part-of-Speech Tagging and Analysis of Irish Tweets](https://aclanthology.org/W15-4301/) *— 2015 · Proceedings of the Workshop on Noisy User-generated Text*
52. [Negation Scope Detection for Twitter Sentiment Analysis](https://aclanthology.org/W15-2914/) *— 2015 · Proceedings of the 6th Workshop on Computational Approaches to Subjectivity, Sentiment and Social Media Analysis*
53. [Not All Contexts Are Created Equal: Better Word Representations with Variable Attention](https://aclanthology.org/D15-1161/) *— 2015 · Proceedings of the 2015 Conference on Empirical Methods in Natural Language Processing*
54. [On Grammaticality in the Syntactic Annotation of Learner Language](https://md.mova.elamur.ai/free/en/docs/papers/dickinson-2015-grammaticality-syntactic-annotation-learner-language/) *— our card · 2015 · Proceedings of the 9th Linguistic Annotation Workshop*
55. [Parse Imputation for Dependency Annotations](https://aclanthology.org/P15-1134/) *— 2015 · Proceedings of the 53rd Annual Meeting of the Association for Computational Linguistics and the 7th International Joint Conference on Natural Language Processing (Volume 1: Long Papers)*
56. [Shared Tasks of the 2015 Workshop on Noisy User-generated Text: Twitter Lexical Normalization and Named Entity Recognition](https://aclanthology.org/W15-4319/) *— 2015 · Proceedings of the Workshop on Noisy User-generated Text*
57. [That''s So Annoying!!!: A Lexical and Frame-Semantic Embedding Based Data Augmentation Approach to Automatic Categorization of Annoying Behaviors using \#petpeeve Tweets](https://aclanthology.org/D15-1306/) *— 2015 · Proceedings of the 2015 Conference on Empirical Methods in Natural Language Processing*
58. [Two/Too Simple Adaptations of Word2Vec for Syntax Problems](https://aclanthology.org/N15-1142/) *— 2015 · Proceedings of the 2015 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies*
59. [Dependency Parsing for Weibo: An Efficient Probabilistic Logic Programming Approach](https://aclanthology.org/D14-1122/) *— 2014 · Proceedings of the 2014 Conference on Empirical Methods in Natural Language Processing (EMNLP)*
60. [Major Life Event Extraction from Twitter based on Congratulations/Condolences Speech Acts](https://aclanthology.org/D14-1214/) *— 2014 · Proceedings of the 2014 Conference on Empirical Methods in Natural Language Processing (EMNLP)*
61. albogamy-2017-arabic-tweets-treebanking-parsing-bootstrapping
62. benton-2021-cross-register-projection-headline-part
63. bianchi-2022-twitter-demographer-flow-based-tool
64. bick-2020-annotated-social-media-corpus-german
65. ciosici-2020-accelerated-high-quality-mutual-information
66. collins-2015-swat-cmw-classification-twitter-emotional
67. dehdari-2016-scaling-up-word-clustering
68. duan-2018-learning-sentence-representations-over-tree
69. farzindar-2013-les-defis-de-l-analyse
70. feng-2020-simple-effective-usage-word-clusters
71. karisani-2022-multi-view-active-learning-short
72. kim-2016-detecting-social-roles-twitter
73. li-2015-hierarchical-knowledge-representation-expert-finding
74. ling-2016-mining-parallel-corpora-sina-weibo
75. liza-2020-sentence-classification-imbalanced-data-health
76. londhe-2016-time-independent-language-independent-extraction
77. malca-2018-neural-transition-based-parsing-web
78. misra-2016-nlds-ucsc-semeval-2016-task
79. plank-2015-non-canonical-language-is-not
80. proisl-2020-empirist-corpus-2-0-adding
81. rouhizadeh-2018-identifying-locus-control-social-media
82. schneider-2015-what-i-ve-learned-about
83. schoene-2022-relate-generating-linguistically-inspired-knowledge
84. schrading-2015-whyistayed-whyileft-microblogging-make-sense
85. shen-2016-improved-word-embeddings-implicit-structure
86. shoeb-2021-assessing-emoji-use-modern-text
87. sidhaye-2015-indicative-tweet-generation-extractive-summarization
88. tang-2016-whunlp-semeval-2016-task-dimsum
89. tian-2017-detection-des-mots-non-standards
90. townsend-2015-warwickdcs-phrase-based-target-specific
91. vilares-2017-syntactic-iberian-polarity-classification
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