---
title: "Who cites Stanza: A Python Natural — 919 citing papers"
description: "919 papers of the Elamur Research library cite «Stanza: A Python Natural Language Processing Toolkit for Many Human Languages», found…"
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---
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# Who cites «Stanza: A Python Natural Language Processing Toolkit for Many Human Languages»

919 papers of our library cite it (of the 141,840 whose bibliographies we read) · 95 with a page here, the most cited first · [← back to «Stanza: A Python Natural Language Processing Toolkit for Many Human Languages»](https://md.research.elamur.ai/free/en/papers/qi-2020-stanza-python-natural-language-processing/)

1. **[Transformers: State-of-the-Art Natural Language Processing](https://md.research.elamur.ai/free/en/papers/wolf-2020-transformers-state-art-natural-language/) [Conference on Empirical Methods in Natural Language Processing (EMNLP)](https://md.research.elamur.ai/free/en/venues/emnlp/)**Thomas Wolf, Lysandre Debut, Victor Sanh, et al.*2020 · 15,606 citations*
2. **[Large language models are few-shot clinical information extractors](https://md.research.elamur.ai/free/en/papers/agrawal-2022-large-language-models-are-few/) [Conference on Empirical Methods in Natural Language Processing (EMNLP)](https://md.research.elamur.ai/free/en/venues/emnlp/)**Monica Agrawal, Stefan Hegselmann, Hunter Lang, et al.*2022 · 450 citations*
3. **[CLIFF: Contrastive Learning for Improving Faithfulness and Factuality in Abstractive Summarization](https://md.research.elamur.ai/free/en/papers/cao-2021-cliff-contrastive-learning-improving-faithfulness/) [Conference on Empirical Methods in Natural Language Processing (EMNLP)](https://md.research.elamur.ai/free/en/venues/emnlp/)**Shuyang Cao, Lu Wang*2021 · 258 citations*
4. **[LGESQL: Line Graph Enhanced Text-to-SQL Model with Mixed Local and Non-Local Relations](https://md.research.elamur.ai/free/en/papers/cao-2021-lgesql-line-graph-enhanced-text/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Ruisheng Cao, Lu Chen, Zhi Chen, et al.*2021 · 191 citations*
5. **[When Being Unseen from mBERT is just the Beginning: Handling New Languages With Multilingual Language Models](https://md.research.elamur.ai/free/en/papers/muller-2021-when-being-unseen-mbert-is/) [Conference of the North American Chapter of the Association for Computational Linguistics (NAACL)](https://md.research.elamur.ai/free/en/venues/naacl/)**Benjamin Muller, Antonios Anastasopoulos, Benoît Sagot, et al.*2021 · 189 citations*
6. **[ContractNLI: A Dataset for Document-level Natural Language Inference for Contracts](https://md.research.elamur.ai/free/en/papers/koreeda-2021-contractnli-dataset-document-level-natural/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Yuta Koreeda, Christopher Manning*2021 · 177 citations*
7. [**Trankit: A Light-Weight Transformer-based Toolkit for Multilingual Natural Language Processing**Minh Van Nguyen, Viet Dac Lai, Amir Pouran Ben Veyseh, et al.*2021 · 169 citations*](https://md.research.elamur.ai/free/en/papers/nguyen-2021-trankit-light-weight-transformer-based/)
8. [**The 2020 Bilingual, Bi-Directional WebNLG+ Shared Task: Overview and Evaluation Results (WebNLG+ 2020) Proceedings of the 3rd International Workshop on Natural Language Generation from the Semantic Web (WebNLG+)**Thiago Castro Ferreira, Claire Gardent, Nikolai Ilinykh, et al.*2020 · 163 citations*](https://md.research.elamur.ai/free/en/papers/ferreira-2020-2020-bilingual-bi-directional-webnlg/)
9. **[Large Language Models Effectively Leverage Document-level Context for Literary Translation, but Critical Errors Persist](https://md.research.elamur.ai/free/en/papers/karpinska-2023-large-language-models-effectively-leverage/) [Conference on Machine Translation (WMT)](https://md.research.elamur.ai/free/en/venues/wmt/)**Marzena Karpinska, Mohit Iyyer*2023 · 156 citations*
10. **[Is GPT-3 Text Indistinguishable from Human Text? Scarecrow: A Framework for Scrutinizing Machine Text](https://md.research.elamur.ai/free/en/papers/dou-2022-is-gpt-3-text-indistinguishable/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Yao Dou, Maxwell Forbes, Rik Koncel-Kedziorski, et al.*2022 · 152 citations*
11. **[Improving Faithfulness in Abstractive Summarization with Contrast Candidate Generation and Selection](https://md.research.elamur.ai/free/en/papers/chen-2021-improving-faithfulness-abstractive-summarization-contrast/) [Conference of the North American Chapter of the Association for Computational Linguistics (NAACL)](https://md.research.elamur.ai/free/en/venues/naacl/)**Sihao Chen, Fan Zhang, Kazoo Sone, et al.*2021 · 149 citations*
12. [**The BigScience ROOTS Corpus: A 1.6TB Composite Multilingual Dataset arXiv:2303.03915**Hugo Laurençon, Lucile Saulnier, Thomas Wang, et al.*2023 · 147 citations*](https://md.research.elamur.ai/free/en/papers/lauren-ccon-2023-bigscience-roots-corpus-1-6tb/)
13. **[MAGE: Machine-generated Text Detection in the Wild](https://md.research.elamur.ai/free/en/papers/li-2024-mage-machine-generated-text-detection/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Yafu Li, Qintong Li, Leyang Cui, et al.*2024 · 129 citations*
14. **[Logical Fallacy Detection](https://md.research.elamur.ai/free/en/papers/jin-2022-logical-fallacy-detection/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Zhijing Jin, Abhinav Lalwani, Tejas Vaidhya, et al.*2022 · 119 citations*
15. **[End-to-End Training of Neural Retrievers for Open-Domain Question Answering](https://md.research.elamur.ai/free/en/papers/sachan-2021-end-end-training-neural-retrievers/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Devendra Sachan, Mostofa Patwary, Mohammad Shoeybi, et al.*2021 · 115 citations*
16. **[A Critical Evaluation of Evaluations for Long-form Question Answering](https://md.research.elamur.ai/free/en/papers/xu-2023-critical-evaluation-evaluations-long-form/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Fangyuan Xu, Yixiao Song, Mohit Iyyer, et al.*2023 · 112 citations*
17. **[XL-WiC: A Multilingual Benchmark for Evaluating Semantic Contextualization](https://md.research.elamur.ai/free/en/papers/raganato-2020-xl-wic-multilingual-benchmark-evaluating/) [Conference on Empirical Methods in Natural Language Processing (EMNLP)](https://md.research.elamur.ai/free/en/venues/emnlp/)**Alessandro Raganato, Tommaso Pasini, Jose Camacho-Collados, et al.*2020 · 111 citations*
18. **[Common Sense Beyond English: Evaluating and Improving Multilingual Language Models for Commonsense Reasoning](https://md.research.elamur.ai/free/en/papers/lin-2021-common-sense-beyond-english-evaluating/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Bill Yuchen Lin, Seyeon Lee, Xiaoyang Qiao, et al.*2021 · 106 citations*
19. **[Understanding by Understanding Not: Modeling Negation in Language Models](https://md.research.elamur.ai/free/en/papers/hosseini-2021-understanding-understanding-not-modeling-negation/) [Conference of the North American Chapter of the Association for Computational Linguistics (NAACL)](https://md.research.elamur.ai/free/en/venues/naacl/)**Arian Hosseini, Siva Reddy, Dzmitry Bahdanau, et al.*2021 · 98 citations*
20. [**FineWeb2: One Pipeline to Scale Them All — Adapting Pre-Training Data Processing to Every Language arXiv:2506.20920**Guilherme Penedo, Hynek Kydliček, Vinko Sabolčec, et al.*2025 · 97 citations*](https://md.research.elamur.ai/free/en/papers/penedo-2025-fineweb2-one-pipeline-scale-them/)
21. [**Dictionary-based Phrase-level Prompting of Large Language Models for Machine Translation arXiv:2302.07856**Marjan Ghazvininejad, Hila Gonen, Luke Zettlemoyer*2023 · 95 citations*](https://md.research.elamur.ai/free/en/papers/ghazvininejad-2023-dictionary-based-phrase-level-prompting/)
22. [**PySBD: Pragmatic Sentence Boundary Disambiguation Proceedings of Second Workshop for NLP Open Source Software (NLP-OSS)**Nipun Sadvilkar, Mark Neumann*2020 · 89 citations*](https://md.research.elamur.ai/free/en/papers/sadvilkar-2020-pysbd-pragmatic-sentence-boundary-disambiguation/)
23. **[How to Adapt Your Pretrained Multilingual Model to 1600 Languages](https://md.research.elamur.ai/free/en/papers/ebrahimi-2021-how-adapt-your-pretrained-multilingual/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Abteen Ebrahimi, Katharina Kann*2021 · 86 citations*
24. **[Expanding Pretrained Models to Thousands More Languages via Lexicon-based Adaptation](https://md.research.elamur.ai/free/en/papers/wang-2022-expanding-pretrained-models-thousands-more/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Xinyi Wang, Sebastian Ruder, Graham Neubig*2022 · 72 citations*
25. **[Mission: Impossible Language Models](https://md.research.elamur.ai/free/en/papers/kallini-2024-mission-impossible-language-models/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Julie Kallini, Isabel Papadimitriou, Richard Futrell, et al.*2024 · 69 citations*
26. [**Temporal Reasoning in Natural Language Inference**Siddharth Vashishtha, Adam Poliak, Yash Kumar Lal, et al.*2020 · 57 citations*](https://md.research.elamur.ai/free/en/papers/vashishtha-2020-temporal-reasoning-natural-language-inference/)
27. [**Overview of the IWPT 2020 Shared Task on Parsing into Enhanced Universal Dependencies**Gosse Bouma, Djamé Seddah, Daniel Zeman*2020 · 52 citations*](https://md.research.elamur.ai/free/en/papers/bouma-2020-overview-iwpt-2020-shared-task/)
28. **[Syntax-augmented Multilingual BERT for Cross-lingual Transfer](https://md.research.elamur.ai/free/en/papers/ahmad-2021-syntax-augmented-multilingual-bert-cross/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Wasi Ahmad, Haoran Li, Kai-Wei Chang, et al.*2021 · 42 citations*
29. [**The DISRPT 2023 Shared Task on Elementary Discourse Unit Segmentation, Connective Detection, and Relation Classification**Chloé Braud, Yang Janet Liu, Eleni Metheniti, et al.*2023 · 37 citations*](https://md.research.elamur.ai/free/en/papers/braud-2023-disrpt-2023-shared-task-elementary/)
30. **[Wino-X: Multilingual Winograd Schemas for Commonsense Reasoning and Coreference Resolution](https://md.research.elamur.ai/free/en/papers/emelin-2021-wino-x-multilingual-winograd-schemas/) [Conference on Empirical Methods in Natural Language Processing (EMNLP)](https://md.research.elamur.ai/free/en/venues/emnlp/)**Denis Emelin, Rico Sennrich*2021 · 34 citations*
31. [**From Raw Text to Enhanced Universal Dependencies: The Parsing Shared Task at IWPT 2021**Gosse Bouma, Djamé Seddah, Daniel Zeman*2021 · 30 citations*](https://md.research.elamur.ai/free/en/papers/bouma-2021-raw-text-enhanced-universal-dependencies/)
32. **[BERT Knows Punta Cana is not just beautiful, it's gorgeous: Ranking Scalar Adjectives with Contextualised Representations](https://md.research.elamur.ai/free/en/papers/soler-2020-bert-knows-punta-cana-is/) [Conference on Empirical Methods in Natural Language Processing (EMNLP)](https://md.research.elamur.ai/free/en/venues/emnlp/)**Aina Garí Soler, Marianna Apidianaki*2020 · 30 citations*
33. **[DisCoDisCo at the DISRPT2021 Shared Task: A System for Discourse Segmentation, Classification, and Connective Detection](https://md.research.elamur.ai/free/en/papers/gessler-2021-discodisco-disrpt2021-shared-task-system/) [Shared Task on Discourse Relation Parsing and Treebanking](https://md.research.elamur.ai/free/en/venues/disrpt/)**Luke Gessler, Shabnam Behzad, Yang Janet Liu, et al.*2021 · 29 citations*
34. [**Camelira: An Arabic Multi-Dialect Morphological Disambiguator**Ossama Obeid, Go Inoue, Nizar Habash*2022 · 27 citations*](https://md.research.elamur.ai/free/en/papers/obeid-2022-camelira-arabic-multi-dialect-morphological/)
35. [**GENTLE: A Genre-Diverse Multilayer Challenge Set for English NLP and Linguistic Evaluation**Tatsuya Aoyama, Shabnam Behzad, Luke Gessler, et al.*2023 · 26 citations*](https://md.research.elamur.ai/free/en/papers/aoyama-2023-gentle-genre-diverse-multilayer-challenge/)
36. **[A Double-Graph Based Framework for Frame Semantic Parsing](https://md.research.elamur.ai/free/en/papers/zheng-2022-double-graph-based-framework-frame/) [Conference of the North American Chapter of the Association for Computational Linguistics (NAACL)](https://md.research.elamur.ai/free/en/venues/naacl/)**Ce Zheng, Xudong Chen, Runxin Xu, et al.*2022 · 20 citations*
37. [**A Second Wave of UD Hebrew Treebanking and Cross-Domain Parsing**Amir Zeldes, Nick Howell, Noam Ordan, et al.*2022 · 18 citations*](https://md.research.elamur.ai/free/en/papers/zeldes-2022-second-wave-ud-hebrew-treebanking/)
38. **[Universal Proposition Bank 2.0](https://md.research.elamur.ai/free/en/papers/jindal-2022-universal-proposition-bank-2-0/) [Language Resources and Evaluation Conference (LREC)](https://md.research.elamur.ai/free/en/venues/lrec/)**Ishan Jindal, Alexandre Rademaker, Michał Ulewicz, et al.*2022 · 18 citations*
39. [**Applying Occam's Razor to Transformer-Based Dependency Parsing: What Works, What Doesn't, and What is Really Necessary**Stefan Grünewald, Annemarie Friedrich, Jonas Kuhn*2021 · 18 citations*](https://md.research.elamur.ai/free/en/papers/grunewald-2021-applying-occam-s-razor-transformer/)
40. [**The Third Multilingual Surface Realisation Shared Task (SR'20): Overview and Evaluation Results**Simon Mille, Anya Belz, Bernd Bohnet, et al.*2020 · 18 citations*](https://md.research.elamur.ai/free/en/papers/mille-2020-third-multilingual-surface-realisation-shared/)
41. **[Crossing the Threshold: Idiomatic Machine Translation through Retrieval Augmentation and Loss Weighting](https://md.research.elamur.ai/free/en/papers/liu-2023-crossing-threshold-idiomatic-machine-translation/) [Conference on Empirical Methods in Natural Language Processing (EMNLP)](https://md.research.elamur.ai/free/en/venues/emnlp/)**Emmy Liu, Aditi Chaudhary, Graham Neubig*2023 · 17 citations*
42. **[A Joint Model for Dropped Pronoun Recovery and Conversational Discourse Parsing in Chinese Conversational Speech](https://md.research.elamur.ai/free/en/papers/yang-2021-joint-model-dropped-pronoun-recovery/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Jingxuan Yang, Kerui Xu, Jun Xu, et al.*2021 · 16 citations*
43. **[DiBiMT: A Gold Evaluation Benchmark for Studying Lexical Ambiguity in Machine Translation](https://md.research.elamur.ai/free/en/papers/martelli-2025-dibimt-gold-evaluation-benchmark-studying/) [Computational Linguistics](https://md.research.elamur.ai/free/en/venues/cl/)**Federico Martelli, Stefano Perrella, Niccolò Campolungo, et al.*2025 · 11 citations*
44. [**Challenges to Evaluating the Generalization of Coreference Resolution Models: A Measurement Modeling Perspective**Ian Porada, Alexandra Olteanu, Kaheer Suleman, et al.*2024 · 10 citations*](https://md.research.elamur.ai/free/en/papers/porada-2024-challenges-evaluating-generalization-coreference-resolution/)
45. [**How Much of Enhanced UD Is Contained in UD?**Adam Ek, Jean-Philippe Bernardy*2020 · 10 citations*](https://md.research.elamur.ai/free/en/papers/ek-2020-how-much-enhanced-ud-is/)
46. [**Using Modern Languages to Parse Ancient Ones: a Test on Old English**Luca Brigada Villa, Martina Giarda*2023 · 9 citations*](https://md.research.elamur.ai/free/en/papers/villa-2023-modern-languages-parse-ancient-ones/)
47. **[Parsing in the absence of related languages: Evaluating low-resource dependency parsers on Tagalog](https://md.research.elamur.ai/free/en/papers/aquino-2020-parsing-absence-related-languages-evaluating/) [Universal Dependencies Workshop (UDW)](https://md.research.elamur.ai/free/en/venues/udw/)**Angelina Aquino, Franz de Leon*2020 · 9 citations*
48. [**MRL Parsing Without Tears: The Case of Hebrew**Shaltiel Shmidman, Avi Shmidman, Moshe Koppel, et al.*2024 · 8 citations*](https://md.research.elamur.ai/free/en/papers/shmidman-2024-mrl-parsing-without-tears-case/)
49. [**Data-driven Parsing Evaluation for Child-Parent Interactions**Zoey Liu, Emily Prud'hommeaux*2023 · 8 citations*](https://md.research.elamur.ai/free/en/papers/liu-2023-data-driven-parsing-evaluation-child/)
50. [**Tracing Syntactic Change in the Scientific Genre: Two Universal Dependency-parsed Diachronic Corpora of Scientific English and German**Marie-Pauline Krielke, Luigi Talamo, Mahmoud Fawzi, et al.*2022 · 8 citations*](https://md.research.elamur.ai/free/en/papers/krielke-2022-tracing-syntactic-change-scientific-genre/)
51. [**A Truly Joint Neural Architecture for Segmentation and Parsing**Danit Yshaayahu Levi, Reut Tsarfaty*2024 · 7 citations*](https://md.research.elamur.ai/free/en/papers/levi-2024-truly-joint-neural-architecture-segmentation/)
52. **[Multilingual Coreference Resolution in Low-resource South Asian Languages](https://md.research.elamur.ai/free/en/papers/mishra-2024-multilingual-coreference-resolution-low-resource/) [Language Resources and Evaluation Conference (LREC)](https://md.research.elamur.ai/free/en/venues/lrec/)**Ritwik Mishra, Pooja Desur, Rajiv Ratn Shah, et al.*2024 · 7 citations*
53. **[Morphologically annotated corpora of Pomak](https://md.research.elamur.ai/free/en/papers/karahoa-2022-morphologically-annotated-corpora-pomak/) [Workshop on the Use of Computational Methods in the Study of Endangered Languages](https://md.research.elamur.ai/free/en/venues/computel/)**Ritván Jusúf Karahóǧa, Panagiotis G. Krimpas, Vivian Stamou, et al.*2022 · 7 citations*
54. [**The Aligned Multimodal Movie Treebank: An audio, video, dependency-parse treebank**Adam Yaari, Jan DeWitt, Henry Hu, et al.*2022 · 7 citations*](https://md.research.elamur.ai/free/en/papers/yaari-2022-aligned-multimodal-movie-treebank-audio/)
55. [**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/)
56. [**Sentence Boundary Detection on Line Breaks in Japanese**Yuta Hayashibe, Kensuke Mitsuzawa*2020 · 6 citations*](https://md.research.elamur.ai/free/en/papers/hayashibe-2020-sentence-boundary-detection-line-breaks/)
57. [**Syntactic Language Change in English and German: Metrics, Parsers, and Convergences**Yanran Chen, Wei Zhao, Anne Breitbarth, et al.*2024 · 5 citations*](https://md.research.elamur.ai/free/en/papers/chen-2024-syntactic-language-change-english-german/)
58. **[EHSAN: Leveraging ChatGPT in a Hybrid Framework for Arabic Aspect-Based Sentiment Analysis in Healthcare](https://md.research.elamur.ai/free/en/papers/alamoudi-2025-ehsan-leveraging-chatgpt-hybrid-framework/) [Lecture notes in computer science](https://md.research.elamur.ai/free/en/venues/lecture-notes-in-computer-science/)**Eman Alamoudi, Ellis Solaiman*2025 · 4 citations*
59. **[Mechanisms vs. Outcomes: Probing for Syntax Fails to Explain Performance on Targeted Syntactic Evaluations](https://md.research.elamur.ai/free/en/papers/agarwal-2025-mechanisms-vs-outcomes-probing-syntax/) [Conference on Empirical Methods in Natural Language Processing (EMNLP)](https://md.research.elamur.ai/free/en/venues/emnlp/)**Ananth Agarwal, Jasper Jian, Christopher D Manning, et al.*2025 · 4 citations*
60. **[Diachronic Analysis of Multi-word Expression Functional Categories in Scientific English](https://md.research.elamur.ai/free/en/papers/alves-2024-diachronic-analysis-multi-word-expression/) [Workshop on Multiword Expressions (MWE)](https://md.research.elamur.ai/free/en/venues/mwe/)**Diego Alves, Stefania Degaetano-Ortlieb, Elena Schmidt, et al.*2024 · 4 citations*
61. [**Comparing Open Arabic Named Entity Recognition Tools arXiv:2205.05857**Abdullah Aldumaykhi, Saad Otai, Abdulkareem Alsudais*2022 · 4 citations*](https://md.research.elamur.ai/free/en/papers/aldumaykhi-2022-comparing-open-arabic-named-entity/)
62. **[The DCU-EPFL Enhanced Dependency Parser at the IWPT 2021 Shared Task](https://md.research.elamur.ai/free/en/papers/barry-2021-dcu-epfl-enhanced-dependency-parser/) [International Conference on Parsing Technologies and the IWPT Shared Task on Parsing into Enhanced Universal Dependencies](https://md.research.elamur.ai/free/en/venues/iwpt/)**James Barry, Alireza Mohammadshahi, Joachim Wagner, et al.*2021 · 4 citations*
63. [**IsraParlTweet: The Israeli Parliamentary and Twitter Resource**Guy Mor-Lan, Effi Levi, Tamir Sheafer, et al.*2024 · 3 citations*](https://md.research.elamur.ai/free/en/papers/lan-2024-israparltweet-israeli-parliamentary-twitter-resource/)
64. [**Step-by-step Instructions and a Simple Tabular Output Format Improve the Dependency Parsing Accuracy of LLMs**Hiroshi Matsuda, Chunpeng Ma, Masayuki Asahara*2025 · 2 citations*](https://md.research.elamur.ai/free/en/papers/matsuda-2025-step-step-instructions-simple-tabular/)
65. **[Universal Dependencies Treebank for Uzbek](https://md.research.elamur.ai/free/en/papers/akhundjanova-2025-universal-dependencies-treebank-uzbek/) [Workshop on Resources and Representations for Under-Resourced Languages and Domains](https://md.research.elamur.ai/free/en/venues/resourceful/)**Arofat Akhundjanova, Luigi Talamo*2025 · 2 citations*
66. **[Examining Political Rhetoric with Epistemic Stance Detection](https://md.research.elamur.ai/free/en/papers/gupta-2022-examining-political-rhetoric-epistemic-stance/) [Workshop on Natural Language Processing and Computational Social Science (NLP+CSS)](https://md.research.elamur.ai/free/en/venues/nlpcss/)**Ankita Gupta, Su Lin Blodgett, Justin H Gross, et al.*2022 · 2 citations*
67. [**Evaluating Universal Dependency Parser Recovery of Predicate Argument Structure via CompChain Analysis**Sagar Indurkhya, Beracah Yankama, Robert C. Berwick*2021 · 2 citations*](https://md.research.elamur.ai/free/en/papers/indurkhya-2021-evaluating-universal-dependency-parser-recovery/)
68. [**Minor changes make a difference: a case study on the consistency of UD-based dependency parsers**Dmytro Kalpakchi, Johan Boye*2021 · 2 citations*](https://md.research.elamur.ai/free/en/papers/kalpakchi-2021-minor-changes-make-difference-case/)
69. **[A Bilingual Bimodal Benchmark for Arabic-English NLP across Grammatical Correction, Essay Scoring, Morphological Tagging, and Speech Recognition](https://md.research.elamur.ai/free/en/papers/alhafni-2026-bilingual-bimodal-benchmark-arabic-english/) [Language Resources and Evaluation Conference (LREC)](https://md.research.elamur.ai/free/en/venues/lrec/)**Bashar Alhafni, Injy Hamed, Fadhl Eryani, et al.*2026 · 1 citation*
70. **[Improving Latvian Morphosyntactic Parsing with Pretrained Encoders and Analyzer-Constrained Decoding](https://md.research.elamur.ai/free/en/papers/znotins-2026-improving-latvian-morphosyntactic-parsing-pretrained/) [Language Resources and Evaluation Conference (LREC)](https://md.research.elamur.ai/free/en/venues/lrec/)**Arturs Znotins*2026 · 1 citation*
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