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# Who cites «Stanza: A Python Natural Language Processing Toolkit for Many Human Languages» · page 3

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/)

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1. [SilverAlign: MT-Based Silver Data Algorithm for Evaluating Word Alignment](https://aclanthology.org/2024.lrec-main.1290/) *— 2024 · Proceedings of the 2024 Joint International Conference on Computational Linguistics, Language Resources and Evaluation (LREC-COLING 2024)*
2. [Solving the Challenge Set without Solving the Task: On Winograd Schemas as a Test of Pronominal Coreference Resolution](https://aclanthology.org/2024.conll-1.38/) *— 2024 · Proceedings of the 28th Conference on Computational Natural Language Learning*
3. [Spotting AI''s Touch: Identifying LLM-Paraphrased Spans in Text](https://aclanthology.org/2024.findings-acl.423/) *— 2024 · Findings of the Association for Computational Linguistics: ACL 2024*
4. [Stefan Fischer; Kateryna Haidarzhyi; Jörg Knappen; Olha Polishchuk; Yuliya Stodolinska; Elke Teich. A Contemporary News Corpus of Ukrainian (CNC-UA): Compilation, Annotation, Publication // UNLP 2024 @ LREC-COLING](https://aclanthology.org/2024.unlp-1.1/) *— 2024 · UNLP 2024 @ LREC-COLING*
5. [Symmetric Dependency Structure of Coordination: Crosslinguistic Arguments from Dependency Length Minimization](https://aclanthology.org/2024.tlt-1.2/) *— 2024 · Proceedings of the 22nd Workshop on Treebanks and Linguistic Theories (TLT 2024)*
6. [Syntactic Language Change in English and German: Metrics, Parsers, and Convergences](https://md.mova.elamur.ai/free/en/docs/papers/chen-2024-syntactic-language-change-english-german/) *— our card · 2024 · arXiv:2402.11549*
7. [Syntactic Transfer to Kyrgyz Using the Treebank Translation Method](https://arxiv.org/abs/2412.13146) *— 2024 · arXiv:2412.13146*
8. [Text-Tuple-Table: Towards Information Integration in Text-to-Table Generation via Global Tuple Extraction](https://aclanthology.org/2024.emnlp-main.523/) *— 2024 · Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing*
9. [TextEE: Benchmark, Reevaluation, Reflections, and Future Challenges in Event Extraction](https://aclanthology.org/2024.findings-acl.760/) *— 2024 · Findings of the Association for Computational Linguistics: ACL 2024*
10. [The Curious Decline of Linguistic Diversity: Training Language Models on Synthetic Text](https://aclanthology.org/2024.findings-naacl.228/) *— 2024 · Findings of the Association for Computational Linguistics: NAACL 2024*
11. [The Impact of Word Splitting on the Semantic Content of Contextualized Word Representations](https://aclanthology.org/2024.tacl-1.17/) *— 2024 · Transactions of the Association for Computational Linguistics*
12. [The Lemma Bank of the LiITA Knowledge Base of Interoperable Resources for Italian](https://aclanthology.org/2024.clicit-1.61/) *— 2024 · Proceedings of the Tenth Italian Conference on Computational Linguistics (CLiC-it 2024)*
13. [The Low Saxon LSDC Dataset at Universal Dependencies](https://aclanthology.org/2024.lrec-main.1388/) *— 2024 · Proceedings of the 2024 Joint International Conference on Computational Linguistics, Language Resources and Evaluation (LREC-COLING 2024)*
14. [The Typology of Ellipsis: A Corpus for Linguistic Analysis and Machine Learning Applications](https://aclanthology.org/2024.sigtyp-1.6/) *— 2024 · Proceedings of the 6th Workshop on Research in Computational Linguistic Typology and Multilingual NLP*
15. [Towards Portparser - a highly accurate parsing system for Brazilian Portuguese following the Universal Dependencies framework](https://aclanthology.org/2024.propor-1.41/) *— 2024 · Proceedings of the 16th International Conference on Computational Processing of Portuguese - Vol. 1*
16. [Twists, Humps, and Pebbles: Multilingual Speech Recognition Models Exhibit Gender Performance Gaps](https://aclanthology.org/2024.emnlp-main.1188/) *— 2024 · Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing*
17. [Using Language Models to Disambiguate Lexical Choices in Translation](https://aclanthology.org/2024.emnlp-main.278/) *— 2024 · Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing*
18. [Visual Grounding Helps Learn Word Meanings in Low-Data Regimes](https://aclanthology.org/2024.naacl-long.71/) *— 2024 · Proceedings of the 2024 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (Volume 1: Long Papers)*
19. [When Only Time Will Tell: Interpreting How Transformers Process Local Ambiguities Through the Lens of Restart-Incrementality](https://aclanthology.org/2024.acl-long.260/) *— 2024 · Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)*
20. [ZAEBUC-Spoken: A Multilingual Multidialectal Arabic-English Speech Corpus](https://aclanthology.org/2024.lrec-main.1546/) *— 2024 · Proceedings of the 2024 Joint International Conference on Computational Linguistics, Language Resources and Evaluation (LREC-COLING 2024)*
21. [Zero-shot Cross-Lingual Transfer for Synthetic Data Generation in Grammatical Error Detection](https://aclanthology.org/2024.emnlp-main.176/) *— 2024 · Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing*
22. [``Barking up the Right Tree'''', a GAN-Based Pun Generation Model through Semantic Pruning](https://aclanthology.org/2024.lrec-main.191/) *— 2024 · Proceedings of the 2024 Joint International Conference on Computational Linguistics, Language Resources and Evaluation (LREC-COLING 2024)*
23. [string2string: A Modern Python Library for String-to-String Algorithms](https://aclanthology.org/2024.acl-demos.26/) *— 2024 · Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 3: System Demonstrations)*
24. [基于动态提示学习和依存关系的生成式结构化情感分析模型(Dynamic Prompt Learning and Dependency Relation based Generative Structured Sentiment Analysis Model)](https://aclanthology.org/2024.ccl-1.34/) *— 2024 · Proceedings of the 23rd Chinese National Conference on Computational Linguistics (Volume 1: Main Conference)*
25. [A Critical Evaluation of Evaluations for Long-form Question Answering](https://aclanthology.org/2023.acl-long.181/) *— 2023 · Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)*
26. [A Large-Scale Multilingual Study of Visual Constraints on Linguistic Selection of Descriptions](https://aclanthology.org/2023.findings-eacl.172/) *— 2023 · Findings of the Association for Computational Linguistics: EACL 2023*
27. [A Low-Resource Approach to the Grammatical Error Correction of Ukrainian](https://aclanthology.org/2023.unlp-1.14/) *— 2023 · Proceedings of the Second Ukrainian Natural Language Processing Workshop (UNLP)*
28. [A Multilingual Evaluation of NER Robustness to Adversarial Inputs](https://aclanthology.org/2023.repl4nlp-1.4/) *— 2023 · Proceedings of the 8th Workshop on Representation Learning for NLP (RepL4NLP 2023)*
29. [A Rewriting Approach for Gender Inclusivity in Portuguese](https://aclanthology.org/2023.findings-emnlp.585/) *— 2023 · Findings of the Association for Computational Linguistics: EMNLP 2023*
30. [A User-Centered Evaluation of Spanish Text Simplification](https://arxiv.org/abs/2308.07556) *— 2023 · arXiv:2308.07556*
31. [A query engine for L1-L2 parallel dependency treebanks](https://aclanthology.org/2023.nodalida-1.57/) *— 2023 · Proceedings of the 24th Nordic Conference on Computational Linguistics (NoDaLiDa)*
32. [All Things Considered: Detecting Partisan Events from News Media with Cross-Article Comparison](https://aclanthology.org/2023.emnlp-main.957/) *— 2023 · Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing*
33. [Ambiguity Meets Uncertainty: Investigating Uncertainty Estimation for Word Sense Disambiguation](https://aclanthology.org/2023.findings-acl.245/) *— 2023 · Findings of the Association for Computational Linguistics: ACL 2023*
34. [An Integrated Approach for Political Bias Prediction and Explanation Based on Discursive Structure](https://aclanthology.org/2023.findings-acl.711/) *— 2023 · Findings of the Association for Computational Linguistics: ACL 2023*
35. [Are Large Language Models Geospatially Knowledgeable?](https://arxiv.org/abs/2310.13002) *— 2023 · arXiv:2310.13002*
36. [Audience-specific Explanations for Machine Translation](https://arxiv.org/abs/2309.12998) *— 2023 · arXiv:2309.12998*
37. [Beyond Good Intentions: Reporting the Research Landscape of NLP for Social Good](https://aclanthology.org/2023.findings-emnlp.31/) *— 2023 · Findings of the Association for Computational Linguistics: EMNLP 2023*
38. [CLASSLA-Stanza: The Next Step for Linguistic Processing of South Slavic Languages](https://arxiv.org/abs/2308.04255) *— 2023 · arXiv:2308.04255*
39. [Can Authorship Representation Learning Capture Stylistic Features?](https://aclanthology.org/2023.tacl-1.80/) *— 2023 · Transactions of the Association for Computational Linguistics*
40. [Comparing Methods for Segmenting Elementary Discourse Units in a French Conversational Corpus](https://aclanthology.org/2023.nodalida-1.44/) *— 2023 · Proceedings of the 24th Nordic Conference on Computational Linguistics (NoDaLiDa)*
41. [Comparison of Current Approaches to Lemmatization: A Case Study in Estonian](https://aclanthology.org/2023.nodalida-1.28/) *— 2023 · Proceedings of the 24th Nordic Conference on Computational Linguistics (NoDaLiDa)*
42. [Crossing the Threshold: Idiomatic Machine Translation through Retrieval Augmentation and Loss Weighting](https://aclanthology.org/2023.emnlp-main.933/) *— 2023 · Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing*
43. [Data-driven Parsing Evaluation for Child-Parent Interactions](https://md.mova.elamur.ai/free/en/docs/papers/ud-2023-liu-data-driven-parsing-evaluation-child/) *— our card · 2023*
44. [Dictionary-based Phrase-level Prompting of Large Language Models for Machine Translation](https://arxiv.org/abs/2302.07856) *— 2023 · arXiv:2302.07856*
45. [Discourse Structure Extraction from Pre-Trained and Fine-Tuned Language Models in Dialogues](https://aclanthology.org/2023.findings-eacl.194/) *— 2023 · Findings of the Association for Computational Linguistics: EACL 2023*
46. [Disentangling Societal Inequality from Model Biases: Gender Inequality in Divorce Court Proceedings](https://arxiv.org/abs/2307.10200) *— 2023 · arXiv:2307.10200*
47. [Diversifying language models for lesser-studied languages and language-usage contexts: A case of second language Korean](https://aclanthology.org/2023.findings-emnlp.767/) *— 2023 · Findings of the Association for Computational Linguistics: EMNLP 2023*
48. [Do CoNLL-2003 Named Entity Taggers Still Work Well in 2023?](https://aclanthology.org/2023.acl-long.459/) *— 2023 · Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)*
49. [Do ``English'' Named Entity Recognizers Work Well on Global Englishes?](https://aclanthology.org/2023.findings-emnlp.788/) *— 2023 · Findings of the Association for Computational Linguistics: EMNLP 2023*
50. [Domain-Adapting BERT for Attributing Manuscript, Century and Region in Pre-Modern Slavic Texts](https://aclanthology.org/2023.lchange-1.2/) *— 2023 · Proceedings of the 4th Workshop on Computational Approaches to Historical Language Change*
51. [Dual-Channel Span for Aspect Sentiment Triplet Extraction](https://aclanthology.org/2023.emnlp-main.17/) *— 2023 · Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing*
52. [EXPLAIN, EDIT, GENERATE: Rationale-Sensitive Counterfactual Data Augmentation for Multi-hop Fact Verification](https://aclanthology.org/2023.emnlp-main.826/) *— 2023 · Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing*
53. [Error Detection for Text-to-SQL Semantic Parsing](https://aclanthology.org/2023.findings-emnlp.785/) *— 2023 · Findings of the Association for Computational Linguistics: EMNLP 2023*
54. [Explorando variaões no tagset e na anotação Universal Dependencies (UD) para Português: Possibilidades e resultados com base no treebank PetroGold](https://aclanthology.org/2023.stil-1.13/) *— 2023 · Proceedings of the 14th Brazilian Symposium in Information and Human Language Technology*
55. [Exploring Large Language Models for Classical Philology](https://aclanthology.org/2023.acl-long.846/) *— 2023 · Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)*
56. [FactKG: Fact Verification via Reasoning on Knowledge Graphs](https://aclanthology.org/2023.acl-long.895/) *— 2023 · Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)*
57. [Fighting Fire with Fire: The Dual Role of LLMs in Crafting and Detecting Elusive Disinformation](https://aclanthology.org/2023.emnlp-main.883/) *— 2023 · Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing*
58. [Findings of the SIGMORPHON 2023 Shared Task on Interlinear Glossing](https://aclanthology.org/2023.sigmorphon-1.20/) *— 2023 · Proceedings of the 20th SIGMORPHON workshop on Computational Research in Phonetics, Phonology, and Morphology*
59. [GATE: A Challenge Set for Gender-Ambiguous Translation Examples](https://arxiv.org/abs/2303.03975) *— 2023 · arXiv:2303.03975*
60. [GENTLE: A Genre-Diverse Multilayer Challenge Set for English NLP and Linguistic Evaluation](https://md.mova.elamur.ai/free/en/docs/papers/treebanks-2023-aoyama-gentle-genre-diverse-multilayer-challenge/) *— our card · 2023 · Proceedings of the 17th Linguistic Annotation Workshop (LAW-XVII)*
61. [Grammatical Error Correction through Round-Trip Machine Translation](https://aclanthology.org/2023.findings-eacl.165/) *— 2023 · Findings of the Association for Computational Linguistics: EACL 2023*
62. [Improving Graph-to-Text Generation Using Cycle Training](https://aclanthology.org/2023.ldk-1.24/) *— 2023 · Proceedings of the 4th Conference on Language, Data and Knowledge*
63. [KWJA: A Unified Japanese Analyzer Based on Foundation Models](https://aclanthology.org/2023.acl-demo.52/) *— 2023 · Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 3: System Demonstrations)*
64. [LLM-enhanced Self-training for Cross-domain Constituency Parsing](https://aclanthology.org/2023.emnlp-main.508/) *— 2023 · Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing*
65. [Large Language Models Effectively Leverage Document-level Context for Literary Translation, but Critical Errors Persist](https://aclanthology.org/2023.wmt-1.41/) *— 2023 · Proceedings of the Eighth Conference on Machine Translation*
66. [Latin Morphology through the Centuries: Ensuring Consistency for Better Language Processing](https://aclanthology.org/2023.alp-1.7/) *— 2023 · Proceedings of the Ancient Language Processing Workshop*
67. [Legal Requirements Analysis](https://arxiv.org/abs/2311.13871) *— 2023 · arXiv:2311.13871*
68. [Lemmatization Experiments on Two Low-Resourced Languages: Low Saxon and Occitan](https://aclanthology.org/2023.vardial-1.17/) *— 2023 · Tenth Workshop on NLP for Similar Languages, Varieties and Dialects (VarDial 2023)*
69. [Linguistic representations for fewer-shot relation extraction across domains](https://aclanthology.org/2023.acl-long.414/) *— 2023 · Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)*
70. [Lost in Translation, Found in Spans: Identifying Claims in Multilingual Social Media](https://aclanthology.org/2023.emnlp-main.236/) *— 2023 · Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing*
71. [Low-Resource Techniques for Analysing the Rhetorical Structure of Swedish Historical Petitions](https://aclanthology.org/2023.resourceful-1.16/) *— 2023 · Proceedings of the Second Workshop on Resources and Representations for Under-Resourced Languages and Domains (RESOURCEFUL-2023)*
72. [Meeting the Needs of Low-Resource Languages: The Value of Automatic Alignments via Pretrained Models](https://aclanthology.org/2023.eacl-main.280/) *— 2023 · Proceedings of the 17th Conference of the European Chapter of the Association for Computational Linguistics*
73. [Methodological issues regarding the semi-automatic UD treebank creation of under-resourced languages: the case of Pomak](https://aclanthology.org/2023.udw-1.4/) *— 2023 · Proceedings of the Sixth Workshop on Universal Dependencies (UDW, GURT/SyntaxFest 2023)*
74. [Mitigating Backdoor Poisoning Attacks through the Lens of Spurious Correlation](https://aclanthology.org/2023.emnlp-main.60/) *— 2023 · Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing*
75. [Modeling Structural Similarities between Documents for Coherence Assessment with Graph Convolutional Networks](https://aclanthology.org/2023.acl-long.431/) *— 2023 · Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)*
76. [MultiLegalSBD: A Multilingual Legal Sentence Boundary Detection Dataset](https://arxiv.org/abs/2305.01211) *— 2023 · arXiv:2305.01211*
77. [NEUROSTRUCTURAL DECODING: Neural Text Generation with Structural Constraints](https://aclanthology.org/2023.acl-long.528/) *— 2023 · Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)*
78. [Non-Compositionality in Sentiment: New Data and Analyses](https://aclanthology.org/2023.findings-emnlp.342/) *— 2023 · Findings of the Association for Computational Linguistics: EMNLP 2023*
79. [OPUS-CAT Terminology Systems for the WMT23 Terminology Shared Task](https://aclanthology.org/2023.wmt-1.83/) *— 2023 · Proceedings of the Eighth Conference on Machine Translation*
80. [OdyCy – A general-purpose NLP pipeline for Ancient Greek](https://aclanthology.org/2023.latechclfl-1.14/) *— 2023 · Proceedings of the 7th Joint SIGHUM Workshop on Computational Linguistics for Cultural Heritage, Social Sciences, Humanities and Literature*
81. [On the Impact of Cross-Domain Data on German Language Models](https://aclanthology.org/2023.findings-emnlp.922/) *— 2023 · Findings of the Association for Computational Linguistics: EMNLP 2023*
82. [Oolong: Investigating What Makes Transfer Learning Hard with Controlled Studies](https://aclanthology.org/2023.emnlp-main.198/) *— 2023 · Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing*
83. [Outiller l''occitan : nouvelles ressources et lemmatisation](https://aclanthology.org/2023.jeptalnrecital-long.17/) *— 2023 · Actes de CORIA-TALN 2023. Actes de la 30e Conférence sur le Traitement Automatique des Langues Naturelles (TALN), volume 1 : travaux de recherche originaux – articles longs*
84. [Python Code Generation by Asking Clarification Questions](https://aclanthology.org/2023.acl-long.799/) *— 2023 · Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)*
85. [RQUGE: Reference-Free Metric for Evaluating Question Generation by Answering the Question](https://aclanthology.org/2023.findings-acl.428/) *— 2023 · Findings of the Association for Computational Linguistics: ACL 2023*
86. [Rethinking Document-Level Relation Extraction: A Reality Check](https://aclanthology.org/2023.findings-acl.353/) *— 2023 · Findings of the Association for Computational Linguistics: ACL 2023*
87. [Rethinking the Word-level Quality Estimation for Machine Translation from Human Judgement](https://aclanthology.org/2023.findings-acl.126/) *— 2023 · Findings of the Association for Computational Linguistics: ACL 2023*
88. [Revisiting Dependency Length and Intervener Complexity Minimisation on a Parallel Corpus in 35 Languages](https://aclanthology.org/2023.sigtyp-1.11/) *— 2023 · Proceedings of the 5th Workshop on Research in Computational Linguistic Typology and Multilingual NLP*
89. [Rule-based semantic interpretation for Universal Dependencies](https://aclanthology.org/2023.udw-1.6/) *— 2023 · Proceedings of the Sixth Workshop on Universal Dependencies (UDW, GURT/SyntaxFest 2023)*
90. [Scent Mining: Extracting Olfactory Events, Smell Sources and Qualities](https://aclanthology.org/2023.latechclfl-1.15/) *— 2023 · Proceedings of the 7th Joint SIGHUM Workshop on Computational Linguistics for Cultural Heritage, Social Sciences, Humanities and Literature*
91. [Semgrex and Ssurgeon, Searching and Manipulating Dependency Graphs](https://aclanthology.org/2023.tlt-1.7/) *— 2023 · Proceedings of the 21st International Workshop on Treebanks and Linguistic Theories (TLT, GURT/SyntaxFest 2023)*
92. [Sentence Embedding Leaks More Information than You Expect: Generative Embedding Inversion Attack to Recover the Whole Sentence](https://aclanthology.org/2023.findings-acl.881/) *— 2023 · Findings of the Association for Computational Linguistics: ACL 2023*
93. [Sentiment Analysis Using Aligned Word Embeddings for Uralic Languages](https://aclanthology.org/2023.resourceful-1.3/) *— 2023 · Proceedings of the Second Workshop on Resources and Representations for Under-Resourced Languages and Domains (RESOURCEFUL-2023)*
94. [Simultaneous Interpreting as a Noisy Channel: How Much Information Gets Through](https://aclanthology.org/2023.ranlp-1.66/) *— 2023 · Proceedings of the 14th International Conference on Recent Advances in Natural Language Processing*
95. [StoryAnalogy: Deriving Story-level Analogies from Large Language Models to Unlock Analogical Understanding](https://aclanthology.org/2023.emnlp-main.706/) *— 2023 · Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing*
96. [Syntactic Substitutability as Unsupervised Dependency Syntax](https://aclanthology.org/2023.emnlp-main.144/) *— 2023 · Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing*
97. [TermoUD - a language-independent terminology extraction tool](https://aclanthology.org/2023.eacl-demo.21/) *— 2023 · Proceedings of the 17th Conference of the European Chapter of the Association for Computational Linguistics: System Demonstrations*
98. [The BigScience ROOTS Corpus: A 1.6TB Composite Multilingual Dataset](https://arxiv.org/abs/2303.03915) *— 2023 · arXiv:2303.03915*
99. [The DISRPT 2023 Shared Task on Elementary Discourse Unit Segmentation, Connective Detection, and Relation Classification](https://md.mova.elamur.ai/free/en/docs/papers/braud-2023-disrpt-2023-shared-task-elementary/) *— our card · 2023 · Proceedings of the 3rd Shared Task on Discourse Relation Parsing and Treebanking (DISRPT 2023)*
100. [The Dangers of trusting Stochastic Parrots: Faithfulness and Trust in Open-domain Conversational Question Answering](https://aclanthology.org/2023.findings-acl.60/) *— 2023 · Findings of the Association for Computational Linguistics: ACL 2023*

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