---
title: "Who cites Veronika Vincze"
description: "444 papers of the Elamur Research library cite the works of Veronika Vincze, found in their bibliographies; the most cited first."
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---
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# Who cites Veronika Vincze

530 citations of their works from 444 papers of our library (of the 140,884 whose bibliographies we read) · 48 with a page here, the most cited first · [← Veronika Vincze](https://md.research.elamur.ai/free/en/authors/veronika-vincze/)

1. [**Constituency Parsing with a Self-Attentive Encoder**Nikita Kitaev, Dan Klein*2018 · 759 citations*](https://md.research.elamur.ai/free/en/papers/kitaev-2018-constituency-parsing-self-attentive-encoder/)
2. [**CoNLL 2017 Shared Task: Multilingual Parsing from Raw Text to Universal Dependencies**Daniel Zeman, Martin Popel, Milan Straka, et al.*2017 · 604 citations*](https://md.research.elamur.ai/free/en/papers/zeman-2017-conll-2017-shared-task-multilingual/)
3. [**Fact Checking: Task definition and dataset construction**Andreas Vlachos, Sebastian Riedel*2014 · 523 citations*](https://md.research.elamur.ai/free/en/papers/vlachos-2014-fact-checking-task-definition-dataset/)
4. [**Multilingual Constituency Parsing with Self-Attention and Pre-Training**Nikita Kitaev, Steven Cao, Dan Klein*2019 · 356 citations*](https://md.research.elamur.ai/free/en/papers/kitaev-2019-multilingual-constituency-parsing-self-attention/)
5. [**Survey: Multiword Expression Processing: A Survey**Mathieu Constant, Gülşen Eryiǧit, Johanna Monti, et al.*2017 · 296 citations*](https://md.research.elamur.ai/free/en/papers/constant-2017-survey-multiword-expression-processing-survey/)
6. [**Did It Happen? The Pragmatic Complexity of Veridicality Assessment**Marie-Catherine de Marneffe, Christopher D. Manning, Christopher Potts*2012 · 202 citations*](https://md.research.elamur.ai/free/en/papers/marneffe-2012-did-it-happen-pragmatic-complexity/)
7. [**Learning the Scope of Hedge Cues in Biomedical Texts**Roser Morante, Walter Daelemans*2009 · 175 citations*](https://md.research.elamur.ai/free/en/papers/morante-2009-learning-scope-hedge-cues-biomedical/)
8. [**It Depends: Dependency Parser Comparison Using A Web-based Evaluation Tool**Jinho D. Choi, Joel Tetreault, Amanda Stent*2015 · 169 citations*](https://md.research.elamur.ai/free/en/papers/choi-2015-it-depends-dependency-parser-comparison/)
9. [**Edition 1.1 of the PARSEME Shared Task on Automatic Identification of Verbal Multiword Expressions**Carlos Ramisch, Silvio Ricardo Cordeiro, Agata Savary, et al.*2018 · 124 citations*](https://md.research.elamur.ai/free/en/papers/ramisch-2018-edition-1-1-parseme-shared/)
10. [**AStitchInLanguageModels: Dataset and Methods for the Exploration of Idiomaticity in Pre-Trained Language Models**Harish Tayyar Madabushi, Edward Gow-Smith, Carolina Scarton, et al.*2021 · 86 citations*](https://md.research.elamur.ai/free/en/papers/madabushi-2021-astitchinlanguagemodels-dataset-methods-exploration-idiomaticity/)
11. [**Modality and Negation in SIMT Use of Modality and Negation in Semantically-Informed Syntactic MT**Kathryn Baker, Michael Bloodgood, Bonnie J. Dorr, et al.*2012 · 77 citations*](https://md.research.elamur.ai/free/en/papers/baker-2012-modality-negation-simt-use-modality/)
12. [**Idiomatic Expression Identification using Semantic Compatibility**Ziheng Zeng, Suma Bhat*2021 · 75 citations*](https://md.research.elamur.ai/free/en/papers/zeng-2021-idiomatic-expression-identification-semantic-compatibility/)
13. [**A Graph-based Lattice Dependency Parser for Joint Morphological Segmentation and Syntactic Analysis**Wolfgang Seeker, Özlem Çetinoğlu*2015 · 66 citations*](https://md.research.elamur.ai/free/en/papers/seeker-2015-graph-based-lattice-dependency-parser/)
14. [**A Cascade Method for Detecting Hedges and their Scope in Natural Language Text**Buzhou Tang, Xiaolong Wang, Xuan Wang, et al.*2010 · 65 citations*](https://md.research.elamur.ai/free/en/papers/tang-2010-cascade-method-detecting-hedges-their/)
15. [**Developing a French FrameNet: Methodology and First results**Marie Candito, Pascal Amsili, Lucie Barque, et al.*2014 · 63 citations*](https://md.research.elamur.ai/free/en/papers/candito-2014-developing-french-framenet-methodology-first/)
16. [**AlephBERT: Language Model Pre-training and Evaluation from Sub-Word to Sentence Level**Amit Seker, Elron Bandel, Dan Bareket, et al.*2022 · 57 citations*](https://md.research.elamur.ai/free/en/papers/seker-2022-alephbert-language-model-pre-training/)
17. [**AlephBERT: A Hebrew Large Pre-Trained Language Model to Start-off your Hebrew NLP Application With**Amit Seker, Elron Bandel, Dan Bareket, et al.*2021 · 56 citations*](https://md.research.elamur.ai/free/en/papers/seker-2021-alephbert-hebrew-large-pre-trained/)
18. [**Memory-Based Resolution of In-Sentence Scopes of Hedge Cues**Roser Morante, Vincent Van Asch, Walter Daelemans*2010 · 48 citations*](https://md.research.elamur.ai/free/en/papers/morante-2010-memory-based-resolution-sentence-scopes/)
19. [**Exploring Compositional Architectures and Word Vector Representations for Prepositional Phrase Attachment**Yonatan Belinkov, Tao Lei, Regina Barzilay, et al.*2014 · 45 citations*](https://md.research.elamur.ai/free/en/papers/belinkov-2014-exploring-compositional-architectures-word-vector/)
20. [**Edition 1.2 of the PARSEME Shared Task on Semi-supervised Identification of Verbal Multiword Expressions**Carlos Ramisch, Agata Savary, Bruno Guillaume, et al.*2020 · 43 citations*](https://md.research.elamur.ai/free/en/papers/ramisch-2020-edition-1-2-parseme-shared/)
21. [**Universal Dependencies for Croatian (that work for Serbian, too)**Željko Agić, Nikola Ljubešić*2015 · 37 citations*](https://md.research.elamur.ai/free/en/papers/agic-2015-universal-dependencies-croatian-that-work/)
22. [**Neural Modeling for Named Entities and Morphology (NEMO2)**Dan Bareket, Reut Tsarfaty*2021 · 32 citations*](https://md.research.elamur.ai/free/en/papers/bareket-2021-neural-modeling-named-entities-morphology/)
23. [**Large Pre-Trained Models with Extra-Large Vocabularies: A Contrastive Analysis of Hebrew BERT Models and a New One to Outperform Them All**Eylon Gueta, Avi Shmidman, Shaltiel Shmidman, et al.*2022 · 28 citations*](https://md.research.elamur.ai/free/en/papers/gueta-2022-large-pre-trained-models-extra/)
24. [**Findings of the Second Shared Task on Multilingual Coreference Resolution**Zdeněk Žabokrtský, Miloslav Konopik, Anna Nedoluzhko, et al.*2023 · 27 citations*](https://md.research.elamur.ai/free/en/papers/zabokrtsky-2023-findings-second-shared-task-multilingual/)
25. [**Semantics of Multiword Expressions in Transformer-Based Models: A Survey**Filip Miletić, Sabine Schulte im Walde*2024 · 20 citations*](https://md.research.elamur.ai/free/en/papers/miletic-2024-semantics-multiword-expressions-transformer-based/)
26. [**"You might think about slightly revising the title": Identifying Hedges in Peer-tutoring Interactions**Yann Raphalen, Chloé Clavel, Justine Cassell*2022 · 15 citations*](https://md.research.elamur.ai/free/en/papers/raphalen-2022-you-might-think-about-slightly/)
27. [**A Lexicon-Based Approach for Detecting Hedges in Informal Text**Jumayel Islam, Lu Xiao, Robert E. Mercer*2020 · 15 citations*](https://md.research.elamur.ai/free/en/papers/islam-2020-lexicon-based-approach-detecting-hedges/)
28. [**Using Hedge Detection to Improve Committed Belief Tagging**Morgan Ulinski, Seth Benjamin, Julia Hirschberg*2018 · 15 citations*](https://md.research.elamur.ai/free/en/papers/ulinski-2018-hedge-detection-improve-committed-belief/)
29. [**MWE as WSD: Solving Multiword Expression Identification with Word Sense Disambiguation**Joshua Tanner, Jacob Hoffman*2023 · 12 citations*](https://md.research.elamur.ai/free/en/papers/tanner-2023-mwe-as-wsd-solving-multiword/)
30. [**ParaShoot: A Hebrew Question Answering Dataset**Omri Keren, Omer Levy*2021 · 12 citations*](https://md.research.elamur.ai/free/en/papers/keren-2021-parashoot-hebrew-question-answering-dataset/)
31. [**Coreference meets Universal Dependencies – a pilot experiment on harmonizing coreference datasets for 11 languages**Anna Nedoluzhko, Michal Novák, Martin Popel, et al.*2021 · 11 citations*](https://md.research.elamur.ai/free/en/papers/nedoluzhko-2021-coreference-meets-universal-dependencies/)
32. [**Findings of the Fourth Shared Task on Multilingual Coreference Resolution: Can LLMs Dethrone Traditional Approaches?**Michal Novák, Miloslav Konopik, Anna Nedoluzhko, et al.*2025 · 10 citations*](https://md.research.elamur.ai/free/en/papers/novak-2025-findings-fourth-shared-task-multilingual/)
33. [**Edition 2.0 of the PARSEME shared task on multilingual identification and paraphrasing of multiword expressions**Manon Scholivet, Agata Savary, Carlos Ramisch, et al.*2026 · 9 citations*](https://md.research.elamur.ai/free/en/papers/scholivet-2026-edition-2-0-parseme-shared/)
34. [**Comparison by Conversion: Reverse-Engineering UCCA from Syntax and Lexical Semantics**Daniel Hershcovich, Nathan Schneider, Dotan Dvir, et al.*2020 · 9 citations*](https://md.research.elamur.ai/free/en/papers/hershcovich-2020-comparison-conversion-reverse-engineering-ucca/)
35. [**Universal Morpho-Syntactic Parsing and the Contribution of Lexica: Analyzing the ONLP Lab Submission to the CoNLL 2018 Shared Task**Amit Seker, Amir More, Reut Tsarfaty*2018 · 9 citations*](https://md.research.elamur.ai/free/en/papers/seker-2018-universal-morpho-syntactic-parsing-contribution/)
36. [**UMR Annotation of Multiword Expressions**Julia Bonn, Andrew Cowell, Jan Hajič, et al.*2023 · 7 citations*](https://md.research.elamur.ai/free/en/papers/bonn-2023-umr-annotation-multiword-expressions/)
37. [**NARC – Norwegian Anaphora Resolution Corpus**Petter Mæhlum, Dag Haug, Tollef Jørgensen, et al.*2022 · 7 citations*](https://md.research.elamur.ai/free/en/papers/maehlum-2022-narc-norwegian-anaphora-resolution-corpus/)
38. [**Findings of the Fifth Shared Task on Multilingual Coreference Resolution: Expanding Datasets for Long-Range Entities**Michal Novák, Miloslav Konopík, Anna Nedoluzhko, et al.*2026 · 6 citations*](https://md.research.elamur.ai/free/en/papers/novak-2026-findings-fifth-shared-task-multilingual/)
39. [**Building a Manually Annotated Hungarian Coreference Corpus: Workflow and Tools**Noémi Vadász*2022 · 5 citations*](https://md.research.elamur.ai/free/en/papers/vadasz-2022-building-manually-annotated-hungarian-coreference/)
40. [**Neural Lemmatization of Multiword Expressions**Marine Schmitt, Mathieu Constant*2019 · 4 citations*](https://md.research.elamur.ai/free/en/papers/schmitt-2019-neural-lemmatization-multiword-expressions/)
41. [**PARSEME 2.0 Multilingual Corpus of Multiword Expressions**Agata Savary, Manon Scholivet, Carlos Ramisch, et al.*2026 · 3 citations*](https://md.research.elamur.ai/free/en/papers/savary-2026-parseme-2-0-multilingual-corpus/)
42. [**Token-level Identification of Multiword Expressions using Pre-trained Multilingual Language Models**Raghuraman Swaminathan, Paul Cook*2023 · 3 citations*](https://md.research.elamur.ai/free/en/papers/swaminathan-2023-token-level-identification-multiword-expressions/)
43. [**Do UD Trees Match Mention Spans in Coreference Annotations?**Martin Popel, Zdeněk Žabokrtský, Anna Nedoluzhko, et al.*2021 · 3 citations*](https://md.research.elamur.ai/free/en/papers/popel-2021-do-ud-trees-match-mention/)
44. [**Extracting Headless MWEs from Dependency Parse Trees: Parsing, Tagging, and Joint Modeling Approaches**Tianze Shi, Lillian Lee*2020 · 3 citations*](https://md.research.elamur.ai/free/en/papers/shi-2020-extracting-headless-mwes-dependency-parse/)
45. [**Universal Joint Morph-Syntactic Processing: The Open University of Israel's Submission to The CoNLL 2017 Shared Task**Amir More, Reut Tsarfaty*2017 · 1 citation*](https://md.research.elamur.ai/free/en/papers/more-2017-universal-joint-morph-syntactic-processing/)
46. [**Sequence Labeling for Constituent Parsing: A Comparative Study and Encoding Innovations**Diego Roca, David Vilares, Carlos Gómez-Rodríguez*2026*](https://md.research.elamur.ai/free/en/papers/roca-2026-sequence-labeling-constituent-parsing-comparative/)
47. [**Survey of Tools for Manual Linguistic Annotation: Supporting Diversity through Interactive Exploration**Ludovica Pannitto, Kaja Dobrovoljc Zor, Bruno Guillaume*2026*](https://md.research.elamur.ai/free/en/papers/pannitto-2026-survey-tools-manual-linguistic-annotation/)
48. [**When Similar Means Different: Evaluating LLMs on Arabic–Hebrew Cognates**Junhong Liang, Noor Abo Mokh, Bashar Alhafni*2026*](https://md.research.elamur.ai/free/en/papers/liang-2026-similar-means-different-evaluating-llms/)

396 more citing papers of our library have no page here yet.

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