[Mova](https://md.mova.elamur.ai/free/en/) · [this page in HTML](https://mova.elamur.ai/free/en/docs/papers/cited-by/ud-2020-qi-stanza-python-natural-language-processing-4/)

[home](https://md.mova.elamur.ai/free/en/) / [docs](https://md.mova.elamur.ai/free/en/docs/) / [papers](https://md.mova.elamur.ai/free/en/docs/papers/) / [cited-by](https://md.mova.elamur.ai/free/en/docs/papers/cited-by/) / Who cites «Stanza: A Python Natural Language Processing Toolkit for Many Human Languages» · page 4

# Who cites «Stanza: A Python Natural Language Processing Toolkit for Many Human Languages» · page 4

914 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/ud-2020-qi-stanza-python-natural-language-processing/)

Pages: [1](https://md.mova.elamur.ai/free/en/docs/papers/cited-by/ud-2020-qi-stanza-python-natural-language-processing/) · [2](https://md.mova.elamur.ai/free/en/docs/papers/cited-by/ud-2020-qi-stanza-python-natural-language-processing-2/) · [3](https://md.mova.elamur.ai/free/en/docs/papers/cited-by/ud-2020-qi-stanza-python-natural-language-processing-3/) · **4** · [5](https://md.mova.elamur.ai/free/en/docs/papers/cited-by/ud-2020-qi-stanza-python-natural-language-processing-5/) · [6](https://md.mova.elamur.ai/free/en/docs/papers/cited-by/ud-2020-qi-stanza-python-natural-language-processing-6/) · [7](https://md.mova.elamur.ai/free/en/docs/papers/cited-by/ud-2020-qi-stanza-python-natural-language-processing-7/) · [8](https://md.mova.elamur.ai/free/en/docs/papers/cited-by/ud-2020-qi-stanza-python-natural-language-processing-8/) · [9](https://md.mova.elamur.ai/free/en/docs/papers/cited-by/ud-2020-qi-stanza-python-natural-language-processing-9/) · [10](https://md.mova.elamur.ai/free/en/docs/papers/cited-by/ud-2020-qi-stanza-python-natural-language-processing-10/)

1. [The development of dependency length minimization in early child language: A case study of the dative alternation](https://aclanthology.org/2023.depling-1.1/) *— 2023 · Proceedings of the Seventh International Conference on Dependency Linguistics (Depling, GURT/SyntaxFest 2023)*
2. [Topic Modelling of Swedish Newspaper Articles about Coronavirus: a Case Study using Latent Dirichlet Allocation Method](https://arxiv.org/abs/2301.03029) *— 2023 · arXiv:2301.03029*
3. [Towards a More In-Depth Detection of Political Framing](https://aclanthology.org/2023.latechclfl-1.18/) *— 2023 · Proceedings of the 7th Joint SIGHUM Workshop on Computational Linguistics for Cultural Heritage, Social Sciences, Humanities and Literature*
4. [Training Language Models with Language Feedback at Scale](https://arxiv.org/abs/2303.16755) *— 2023 · arXiv:2303.16755*
5. [Turkish Native Language Identification](https://aclanthology.org/2023.icnlsp-1.32/) *— 2023 · Proceedings of the 6th International Conference on Natural Language and Speech Processing (ICNLSP 2023)*
6. [UMUTeam at SemEval-2023 Task 12: Ensemble Learning of LLMs applied to Sentiment Analysis for Low-resource African Languages](https://aclanthology.org/2023.semeval-1.38/) *— 2023 · Proceedings of the 17th International Workshop on Semantic Evaluation (SemEval-2023)*
7. [Using Modern Languages to Parse Ancient Ones: a Test on Old English](https://md.mova.elamur.ai/free/en/docs/papers/villa-2023-modern-languages-parse-ancient-ones/) *— our card · 2023 · Proceedings of the 5th Workshop on Research in Computational Linguistic Typology and Multilingual NLP*
8. [What Works When in Context-aware Neural Machine Translation?](https://aclanthology.org/2023.eamt-1.15/) *— 2023 · Proceedings of the 24th Annual Conference of the European Association for Machine Translation*
9. [What are the Desired Characteristics of Calibration Sets? Identifying Correlates on Long Form Scientific Summarization](https://aclanthology.org/2023.acl-long.587/) *— 2023 · Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)*
10. [When Does Translation Require Context? A Data-driven, Multilingual Exploration](https://aclanthology.org/2023.acl-long.36/) *— 2023 · Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)*
11. [World-to-Words: Grounded Open Vocabulary Acquisition through Fast Mapping in Vision-Language Models](https://aclanthology.org/2023.acl-long.31/) *— 2023 · Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)*
12. [ezCoref: Towards Unifying Annotation Guidelines for Coreference Resolution](https://aclanthology.org/2023.findings-eacl.24/) *— 2023 · Findings of the Association for Computational Linguistics: EACL 2023*
13. [mOKB6: A Multilingual Open Knowledge Base Completion Benchmark](https://aclanthology.org/2023.acl-short.19/) *— 2023 · Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 2: Short Papers)*
14. [mahaNLP: A Marathi Natural Language Processing Library](https://aclanthology.org/2023.ijcnlp-demo.5/) *— 2023 · Proceedings of the 13th International Joint Conference on Natural Language Processing and the 3rd Conference of the Asia-Pacific Chapter of the Association for Computational Linguistics: System Demonstrations*
15. [A Cross-document Coreference Dataset for Longitudinal Tracking across Radiology Reports](https://aclanthology.org/2022.lrec-1.393/) *— 2022 · Proceedings of the Thirteenth Language Resources and Evaluation Conference*
16. [A Double-Graph Based Framework for Frame Semantic Parsing](https://aclanthology.org/2022.naacl-main.368/) *— 2022 · Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies*
17. [A Second Wave of UD Hebrew Treebanking and Cross-Domain Parsing](https://md.mova.elamur.ai/free/en/docs/papers/ud-2022-zeldes-second-wave-ud-hebrew-treebanking/) *— our card · 2022 · Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing*
18. [AGILe: The First Lemmatizer for Ancient Greek Inscriptions](https://aclanthology.org/2022.lrec-1.571/) *— 2022 · Proceedings of the Thirteenth Language Resources and Evaluation Conference*
19. [AX-MABSA: A Framework for Extremely Weakly Supervised Multi-label Aspect Based Sentiment Analysis](https://aclanthology.org/2022.emnlp-main.412/) *— 2022 · Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing*
20. [Adam Mickiewicz University at WMT 2022: NER-Assisted and Quality-Aware Neural Machine Translation](https://aclanthology.org/2022.wmt-1.26/) *— 2022 · Proceedings of the Seventh Conference on Machine Translation (WMT)*
21. [Aligning Sentences in a Paragraph-Paraphrased Corpus with New Embedding-based Similarity Measures](https://aclanthology.org/2022.ijclclp-2.1/) *— 2022 · International Journal of Computational Linguistics & Chinese Language Processing, Volume 27, Number 2, December 2022*
22. [An Unsupervised, Geometric and Syntax-aware Quantification of Polysemy](https://aclanthology.org/2022.emnlp-main.722/) *— 2022 · Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing*
23. [AnnIE: An Annotation Platform for Constructing Complete Open Information Extraction Benchmark](https://aclanthology.org/2022.acl-demo.5/) *— 2022 · Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics: System Demonstrations*
24. [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*
25. [Are Interaction Patterns Helpful for Task-Agnostic Dementia Detection? An Empirical Exploration](https://aclanthology.org/2022.sigdial-1.18/) *— 2022 · Proceedings of the 23rd Annual Meeting of the Special Interest Group on Discourse and Dialogue*
26. [Assessing sentence readability for German language learners with broad linguistic modeling or readability formulas: When do linguistic insights make a difference?](https://aclanthology.org/2022.bea-1.19/) *— 2022 · Proceedings of the 17th Workshop on Innovative Use of NLP for Building Educational Applications (BEA 2022)*
27. [Automatic Correction of Syntactic Dependency Annotation Differences](https://aclanthology.org/2022.lrec-1.769/) *— 2022 · Proceedings of the Thirteenth Language Resources and Evaluation Conference*
28. [Automatically generating question-answer pairs for assessing basic reading comprehension in Swedish](https://arxiv.org/abs/2211.15568) *— 2022 · arXiv:2211.15568*
29. [CEFR-Based Sentence Difficulty Annotation and Assessment](https://aclanthology.org/2022.emnlp-main.416/) *— 2022 · Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing*
30. [CENTAL at TSAR-2022 Shared Task: How Does Context Impact BERT-Generated Substitutions for Lexical Simplification?](https://aclanthology.org/2022.tsar-1.25/) *— 2022 · Proceedings of the Workshop on Text Simplification, Accessibility, and Readability (TSAR-2022)*
31. [CLIP Models are Few-Shot Learners: Empirical Studies on VQA and Visual Entailment](https://aclanthology.org/2022.acl-long.421/) *— 2022 · Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)*
32. [Camelira: An Arabic Multi-Dialect Morphological Disambiguator](https://md.mova.elamur.ai/free/en/docs/papers/aclbulk-2022-obeid-camelira-arabic-multi-dialect-morphological/) *— our card · 2022 · Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing: System Demonstrations*
33. [Clarifying Implicit and Underspecified Phrases in Instructional Text](https://aclanthology.org/2022.lrec-1.354/) *— 2022 · Proceedings of the Thirteenth Language Resources and Evaluation Conference*
34. [CoAuthor: Designing a Human-AI Collaborative Writing Dataset for Exploring Language Model Capabilities](https://arxiv.org/abs/2201.06796) *— 2022 · arXiv:2201.06796*
35. [CoCoA-MT: A Dataset and Benchmark for Contrastive Controlled MT with Application to Formality](https://aclanthology.org/2022.findings-naacl.47/) *— 2022 · Findings of the Association for Computational Linguistics: NAACL 2022*
36. [Comparing Open Arabic Named Entity Recognition Tools](https://arxiv.org/abs/2205.05857) *— 2022 · arXiv:2205.05857*
37. [Competence-based Question Generation](https://aclanthology.org/2022.coling-1.131/) *— 2022 · Proceedings of the 29th International Conference on Computational Linguistics*
38. [DEMETR: Diagnosing Evaluation Metrics for Translation](https://aclanthology.org/2022.emnlp-main.649/) *— 2022 · Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing*
39. [DISAPERE: A Dataset for Discourse Structure in Peer Review Discussions](https://aclanthology.org/2022.naacl-main.89/) *— 2022 · Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies*
40. [Deciphering and Characterizing Out-of-Vocabulary Words for Morphologically Rich Languages](https://aclanthology.org/2022.coling-1.472/) *— 2022 · Proceedings of the 29th International Conference on Computational Linguistics*
41. [DiBiMT: A Novel Benchmark for Measuring Word Sense Disambiguation Biases in Machine Translation](https://aclanthology.org/2022.acl-long.298/) *— 2022 · Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)*
42. [Diagnosing Vision-and-Language Navigation: What Really Matters](https://aclanthology.org/2022.naacl-main.438/) *— 2022 · Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies*
43. [Discrete Opinion Tree Induction for Aspect-based Sentiment Analysis](https://aclanthology.org/2022.acl-long.145/) *— 2022 · Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)*
44. [Does BERT Rediscover a Classical NLP Pipeline?](https://aclanthology.org/2022.coling-1.278/) *— 2022 · Proceedings of the 29th International Conference on Computational Linguistics*
45. [Dr. Livingstone, I presume? Polishing of foreign character identification in literary texts](https://aclanthology.org/2022.naacl-srw.16/) *— 2022 · Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies: Student Research Workshop*
46. [Drum Up SUPPORT: Systematic Analysis of Image-Schematic Conceptual Metaphors](https://aclanthology.org/2022.flp-1.7/) *— 2022 · Proceedings of the 3rd Workshop on Figurative Language Processing (FLP)*
47. [EPIC UdS - Creation and Applications of a Simultaneous Interpreting Corpus](https://aclanthology.org/2022.lrec-1.127/) *— 2022 · Proceedings of the Thirteenth Language Resources and Evaluation Conference*
48. [EnCBP: A New Benchmark Dataset for Finer-Grained Cultural Background Prediction in English](https://aclanthology.org/2022.findings-acl.221/) *— 2022 · Findings of the Association for Computational Linguistics: ACL 2022*
49. [English To Indian Sign Language:Rule-Based Translation System Along With Multi-Word Expressions and Synonym Substitution](https://aclanthology.org/2022.icon-main.17/) *— 2022 · Proceedings of the 19th International Conference on Natural Language Processing (ICON)*
50. [Enhanced Multi-Channel Graph Convolutional Network for Aspect Sentiment Triplet Extraction](https://aclanthology.org/2022.acl-long.212/) *— 2022 · Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)*
51. [Enhancing Self-Attention with Knowledge-Assisted Attention Maps](https://aclanthology.org/2022.naacl-main.8/) *— 2022 · Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies*
52. [Entity Graph Extraction from Legal Acts -- a Prototype for a Use Case in Policy Design Analysis](https://arxiv.org/abs/2209.00944) *— 2022 · arXiv:2209.00944*
53. [Exact Paired-Permutation Testing for Structured Test Statistics](https://aclanthology.org/2022.naacl-main.360/) *— 2022 · Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies*
54. [Examining Political Rhetoric with Epistemic Stance Detection](https://aclanthology.org/2022.nlpcss-1.11/) *— 2022 · Proceedings of the Fifth Workshop on Natural Language Processing and Computational Social Science (NLP+CSS)*
55. [Expanding Pretrained Models to Thousands More Languages via Lexicon-based Adaptation](https://aclanthology.org/2022.acl-long.61/) *— 2022 · Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)*
56. [Exploiting Numerical-Contextual Knowledge to Improve Numerical Reasoning in Question Answering](https://aclanthology.org/2022.findings-naacl.138/) *— 2022 · Findings of the Association for Computational Linguistics: NAACL 2022*
57. [Extending the SSJ Universal Dependencies Treebank for Slovenian: Was It Worth It?](https://aclanthology.org/2022.law-1.3/) *— 2022 · Proceedings of the 16th Linguistic Annotation Workshop (LAW-XVI) within LREC2022*
58. [Extracting Person Names from User Generated Text: Named-Entity Recognition for Combating Human Trafficking](https://aclanthology.org/2022.findings-acl.225/) *— 2022 · Findings of the Association for Computational Linguistics: ACL 2022*
59. [FABRA: French Aggregator-Based Readability Assessment toolkit](https://aclanthology.org/2022.lrec-1.130/) *— 2022 · Proceedings of the Thirteenth Language Resources and Evaluation Conference*
60. [Fast-Paced Improvements to Named Entity Handling for Neural Machine Translation](https://aclanthology.org/2022.eamt-1.17/) *— 2022 · Proceedings of the 23rd Annual Conference of the European Association for Machine Translation*
61. [Fine-Grained Error Analysis and Fair Evaluation of Labeled Spans](https://aclanthology.org/2022.lrec-1.150/) *— 2022 · Proceedings of the Thirteenth Language Resources and Evaluation Conference*
62. [Frame Detection in German Political Discourses: How Far Can We Go Without Large-Scale Manual Corpus Annotation?](https://aclanthology.org/2022.jlcl-2.2/) *— 2022*
63. [Fully Hyperbolic Neural Networks](https://aclanthology.org/2022.acl-long.389/) *— 2022 · Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)*
64. [Generalized Quantifiers as a Source of Error in Multilingual NLU Benchmarks](https://aclanthology.org/2022.naacl-main.359/) *— 2022 · Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies*
65. [GisPy: A Tool for Measuring Gist Inference Score in Text](https://aclanthology.org/2022.wnu-1.5/) *— 2022 · Proceedings of the 4th Workshop of Narrative Understanding (WNU2022)*
66. [Graph-Based Multilingual Label Propagation for Low-Resource Part-of-Speech Tagging](https://aclanthology.org/2022.emnlp-main.102/) *— 2022 · Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing*
67. [How Do We Answer Complex Questions: Discourse Structure of Long-form Answers](https://aclanthology.org/2022.acl-long.249/) *— 2022 · Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)*
68. [How Well Do You Know Your Audience? Toward Socially-aware Question Generation](https://aclanthology.org/2022.sigdial-1.27/) *— 2022 · Proceedings of the 23rd Annual Meeting of the Special Interest Group on Discourse and Dialogue*
69. [How sensitive are translation systems to extra contexts? Mitigating gender bias in Neural Machine Translation models through relevant contexts.](https://aclanthology.org/2022.findings-emnlp.143/) *— 2022 · Findings of the Association for Computational Linguistics: EMNLP 2022*
70. [INCLUSIFY: A benchmark and a model for gender-inclusive German](https://arxiv.org/abs/2212.02564) *— 2022 · arXiv:2212.02564*
71. [Improving the Factual Correctness of Radiology Report Generation with Semantic Rewards](https://aclanthology.org/2022.findings-emnlp.319/) *— 2022 · Findings of the Association for Computational Linguistics: EMNLP 2022*
72. [Improving the Faithfulness of Abstractive Summarization via Entity Coverage Control](https://aclanthology.org/2022.findings-naacl.40/) *— 2022 · Findings of the Association for Computational Linguistics: NAACL 2022*
73. [Investigating Failures of Automatic Translation in the Case of Unambiguous Gender](https://aclanthology.org/2022.acl-long.243/) *— 2022 · Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)*
74. [Is Character Trigram Overlapping Ratio Still the Best Similarity Measure for Aligning Sentences in a Paraphrased Corpus?](https://aclanthology.org/2022.rocling-1.7/) *— 2022 · Proceedings of the 34th Conference on Computational Linguistics and Speech Processing (ROCLING 2022)*
75. [Is GPT-3 Text Indistinguishable from Human Text? Scarecrow: A Framework for Scrutinizing Machine Text](https://aclanthology.org/2022.acl-long.501/) *— 2022 · Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)*
76. [KiPT: Knowledge-injected Prompt Tuning for Event Detection](https://aclanthology.org/2022.coling-1.169/) *— 2022 · Proceedings of the 29th International Conference on Computational Linguistics*
77. [Knowledge Authoring with Factual English](https://arxiv.org/abs/2208.03094) *— 2022 · arXiv:2208.03094 · EPTCS 364, 2022, pp. 107-122*
78. [Large Language Models are Few-Shot Clinical Information Extractors](https://arxiv.org/abs/2205.12689) *— 2022 · arXiv:2205.12689*
79. [Large language models are few-shot clinical information extractors](https://aclanthology.org/2022.emnlp-main.130/) *— 2022 · Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing*
80. [Legal Case Winning Party Prediction With Domain Specific Auxiliary Models](https://aclanthology.org/2022.rocling-1.26/) *— 2022 · Proceedings of the 34th Conference on Computational Linguistics and Speech Processing (ROCLING 2022)*
81. [Linguistically Motivated Features for Classifying Shorter Text into Fiction and Non-Fiction Genre](https://aclanthology.org/2022.coling-1.77/) *— 2022 · Proceedings of the 29th International Conference on Computational Linguistics*
82. [Literary translation as a three-stage process: machine translation, post-editing and revision](https://aclanthology.org/2022.eamt-1.13/) *— 2022 · Proceedings of the 23rd Annual Conference of the European Association for Machine Translation*
83. [LogiTorch: A PyTorch-based library for logical reasoning on natural language](https://aclanthology.org/2022.emnlp-demos.25/) *— 2022 · Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing: System Demonstrations*
84. [Logical Fallacy Detection](https://aclanthology.org/2022.findings-emnlp.532/) *— 2022 · Findings of the Association for Computational Linguistics: EMNLP 2022*
85. [Low Saxon dialect distances at the orthographic and syntactic level](https://aclanthology.org/2022.lchange-1.12/) *— 2022 · Proceedings of the 3rd Workshop on Computational Approaches to Historical Language Change*
86. [MASALA: Modelling and Analysing the Semantics of Adpositions in Linguistic Annotation of Hindi](https://aclanthology.org/2022.lrec-1.612/) *— 2022 · Proceedings of the Thirteenth Language Resources and Evaluation Conference*
87. [MMEKG: Multi-modal Event Knowledge Graph towards Universal Representation across Modalities](https://aclanthology.org/2022.acl-demo.23/) *— 2022 · Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics: System Demonstrations*
88. [MWE for Essay Scoring English as a Foreign Language](https://aclanthology.org/2022.readi-1.9/) *— 2022 · Proceedings of the 2nd Workshop on Tools and Resources to Empower People with REAding DIfficulties (READI) within the 13th Language Resources and Evaluation Conference*
89. [Midas Loop: A Prioritized Human-in-the-Loop Annotation for Large Scale Multilayer Data](https://aclanthology.org/2022.law-1.13/) *— 2022 · Proceedings of the 16th Linguistic Annotation Workshop (LAW-XVI) within LREC2022*
90. [Morphological Processing of Low-Resource Languages: Where We Are and What''s Next](https://aclanthology.org/2022.findings-acl.80/) *— 2022 · Findings of ACL 2022 (Dublin)*
91. [Morphologically annotated corpora of Pomak](https://aclanthology.org/2022.computel-1.22/) *— 2022 · Proceedings of the Fifth Workshop on the Use of Computational Methods in the Study of Endangered Languages*
92. [Multilingual Generative Language Models for Zero-Shot Cross-Lingual Event Argument Extraction](https://aclanthology.org/2022.acl-long.317/) *— 2022 · Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)*
93. [Multilingual Open Text Release 1: Public Domain News in 44 Languages](https://aclanthology.org/2022.lrec-1.224/) *— 2022 · Proceedings of the Thirteenth Language Resources and Evaluation Conference*
94. [Multilingual Syntax-aware Language Modeling through Dependency Tree Conversion](https://aclanthology.org/2022.spnlp-1.1/) *— 2022 · Proceedings of the Sixth Workshop on Structured Prediction for NLP*
95. [Not Just Plain Text! Fuel Document-Level Relation Extraction with Explicit Syntax Refinement and Subsentence Modeling](https://aclanthology.org/2022.findings-emnlp.140/) *— 2022 · Findings of the Association for Computational Linguistics: EMNLP 2022*
96. [Original or Translated? A Causal Analysis of the Impact of Translationese on Machine Translation Performance](https://aclanthology.org/2022.naacl-main.389/) *— 2022 · Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies*
97. [PACMAN:PArallel CodeMixed dAta generatioN for POS tagging](https://aclanthology.org/2022.icon-main.29/) *— 2022 · Proceedings of the 19th International Conference on Natural Language Processing (ICON)*
98. [Patterns of Text Readability in Human and Predicted Eye Movements](https://aclanthology.org/2022.cogalex-1.1/) *— 2022 · Proceedings of the Workshop on Cognitive Aspects of the Lexicon*
99. [Perturbation Augmentation for Fairer NLP](https://aclanthology.org/2022.emnlp-main.646/) *— 2022 · Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing*
100. [Pre-training Language Models for Surface Realization](https://aclanthology.org/2022.icnlsp-1.37/) *— 2022 · Proceedings of the 5th International Conference on Natural Language and Speech Processing (ICNLSP 2022)*

Pages: [1](https://md.mova.elamur.ai/free/en/docs/papers/cited-by/ud-2020-qi-stanza-python-natural-language-processing/) · [2](https://md.mova.elamur.ai/free/en/docs/papers/cited-by/ud-2020-qi-stanza-python-natural-language-processing-2/) · [3](https://md.mova.elamur.ai/free/en/docs/papers/cited-by/ud-2020-qi-stanza-python-natural-language-processing-3/) · **4** · [5](https://md.mova.elamur.ai/free/en/docs/papers/cited-by/ud-2020-qi-stanza-python-natural-language-processing-5/) · [6](https://md.mova.elamur.ai/free/en/docs/papers/cited-by/ud-2020-qi-stanza-python-natural-language-processing-6/) · [7](https://md.mova.elamur.ai/free/en/docs/papers/cited-by/ud-2020-qi-stanza-python-natural-language-processing-7/) · [8](https://md.mova.elamur.ai/free/en/docs/papers/cited-by/ud-2020-qi-stanza-python-natural-language-processing-8/) · [9](https://md.mova.elamur.ai/free/en/docs/papers/cited-by/ud-2020-qi-stanza-python-natural-language-processing-9/) · [10](https://md.mova.elamur.ai/free/en/docs/papers/cited-by/ud-2020-qi-stanza-python-natural-language-processing-10/)

- [← previous Who cites «Stanza: A Python Natural Language Processing Toolkit for Many Human Languages» · page 3](https://md.mova.elamur.ai/free/en/docs/papers/cited-by/ud-2020-qi-stanza-python-natural-language-processing-3/)
- [next → Who cites «Stanza: A Python Natural Language Processing Toolkit for Many Human Languages» · page 5](https://md.mova.elamur.ai/free/en/docs/papers/cited-by/ud-2020-qi-stanza-python-natural-language-processing-5/)
- [↑ back to papers/cited-by/](https://md.mova.elamur.ai/free/en/docs/papers/cited-by/)