---
title: "Who cites Gülşen Eryiğit"
description: "584 papers of the Elamur Research library cite the works of Gülşen Eryiğit, found in their bibliographies; the most cited first."
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---
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# Who cites Gülşen Eryiğit

593 citations of their works from 584 papers of our library (of the 140,884 whose bibliographies we read) · 42 with a page here, the most cited first · [← Gülşen Eryiğit](https://md.research.elamur.ai/free/en/authors/gulsen-eryigit/)

1. [**CoNLL-X Shared Task on Multilingual Dependency Parsing**Sabine Buchholz, Erwin Marsi*2006 · 1,426 citations*](https://md.research.elamur.ai/free/en/papers/buchholz-2006-conll-x-shared-task-multilingual/)
2. [**SemEval-2017 Task 4: Sentiment Analysis in Twitter**Sara Rosenthal, Noura Farra, Preslav Nakov*2017 · 1,159 citations*](https://md.research.elamur.ai/free/en/papers/rosenthal-2017-semeval-2017-task-4-sentiment/)
3. [**Aspect-based Sentiment Classification with Aspect-specific Graph Convolutional Networks**Chen Zhang, Qiuchi Li, Dawei Song*2019 · 807 citations*](https://md.research.elamur.ai/free/en/papers/zhang-2019-aspect-based-sentiment-classification-aspect/)
4. [**The CoNLL 2008 Shared Task on Joint Parsing of Syntactic and Semantic Dependencies**Mihai Surdeanu, Richard Johansson, Adam Meyers, et al.*2008 · 728 citations*](https://md.research.elamur.ai/free/en/papers/surdeanu-2008-conll-2008-shared-task-joint/)
5. [**Algorithms for Deterministic Incremental Dependency Parsing**Joakim Nivre*2008 · 643 citations*](https://md.research.elamur.ai/free/en/papers/nivre-2008-algorithms-deterministic-incremental-dependency-parsing/)
6. [**Sentiment Analysis in the Era of Large Language Models: A Reality Check**Wenxuan Zhang, Yue Deng, Bing Liu, et al.*2023 · 505 citations*](https://md.research.elamur.ai/free/en/papers/zhang-2023-sentiment-analysis-era-large-language/)
7. [**Double Embeddings and CNN-based Sequence Labeling for Aspect Extraction**Hu Xu, Bing Liu, Lei Shu, et al.*2018 · 494 citations*](https://md.research.elamur.ai/free/en/papers/xu-2018-double-embeddings-cnn-based-sequence/)
8. [**Characterizing the Errors of Data-Driven Dependency Parsing Models**Ryan McDonald, Joakim Nivre*2007 · 403 citations*](https://md.research.elamur.ai/free/en/papers/mcdonald-2007-characterizing-errors-data-driven-dependency/)
9. [**Improved Transition-based Parsing by Modeling Characters instead of Words with LSTMs**Miguel Ballesteros, Chris Dyer, Noah A. Smith*2015 · 401 citations*](https://md.research.elamur.ai/free/en/papers/ballesteros-2015-improved-transition-based-parsing-modeling/)
10. [**Position-Aware Tagging for Aspect Sentiment Triplet Extraction**Lu Xu, Hao Li, Wei Lu, et al.*2020 · 370 citations*](https://md.research.elamur.ai/free/en/papers/xu-2020-position-aware-tagging-aspect-sentiment/)
11. [**Non-Projective Dependency Parsing in Expected Linear Time**Joakim Nivre*2009 · 357 citations*](https://md.research.elamur.ai/free/en/papers/nivre-2009-non-projective-dependency-parsing-expected/)
12. [**Utilizing BERT for Aspect-Based Sentiment Analysis via Constructing Auxiliary Sentence**Chi Sun, Luyao Huang, Xipeng Qiu*2019 · 356 citations*](https://md.research.elamur.ai/free/en/papers/sun-2019-utilizing-bert-aspect-based-sentiment/)
13. [**Integrating Graph-Based and Transition-Based Dependency Parsers**Joakim Nivre, Ryan McDonald*2008 · 354 citations*](https://md.research.elamur.ai/free/en/papers/nivre-2008-integrating-graph-based-transition-based/)
14. [**A Tale of Two Parsers: Investigating and Combining Graph-based and Transition-based Dependency Parsing**Yue Zhang, Stephen Clark*2008 · 336 citations*](https://md.research.elamur.ai/free/en/papers/zhang-2008-tale-two-parsers-investigating-combining/)
15. [**Aspect Sentiment Quad Prediction as Paraphrase Generation**Wenxuan Zhang, Yang Deng, Xin Li, et al.*2021 · 325 citations*](https://md.research.elamur.ai/free/en/papers/zhang-2021-aspect-sentiment-quad-prediction-as/)
16. [**Aspect-Category-Opinion-Sentiment Quadruple Extraction with Implicit Aspects and Opinions**Hongjie Cai, Rui Xia, Jianfei Yu*2021 · 255 citations*](https://md.research.elamur.ai/free/en/papers/cai-2021-aspect-category-opinion-sentiment-quadruple/)
17. [**A review of sentiment analysis research in Arabic language**Oumaima Oueslati; Erik Cambria; Moez Ben HajHmida;, Habib Ounelli*2020 · 241 citations*](https://md.research.elamur.ai/free/en/papers/oueslati-2020-review-sentiment-analysis-research-arabic/)
18. [**A Two-Stage Parsing Method for Text-Level Discourse Analysis**Yizhong Wang, Sujian Li, Houfeng Wang*2017 · 164 citations*](https://md.research.elamur.ai/free/en/papers/wang-2017-two-stage-parsing-method-text/)
19. [**Transition-Based Parsing of the Chinese Treebank using a Global Discriminative Model**Yue Zhang, Stephen Clark*2009 · 151 citations*](https://md.research.elamur.ai/free/en/papers/zhang-2009-transition-based-parsing-chinese-treebank/)
20. [**Arabic aspect based sentiment analysis using bidirectional GRU based models**Mohammed M.Abdelgwad, Taysir Hassan A Soliman, Ahmed I.Taloba, et al.*2021 · 127 citations*](https://md.research.elamur.ai/free/en/papers/m-abdelgwad-2021-arabic-aspect-based-sentiment-analysis/)
21. [**Dependency Parsing of Modern Standard Arabic with Lexical and Inflectional Features**Yuval Marton, Nizar Habash, Owen Rambow*2013 · 109 citations*](https://md.research.elamur.ai/free/en/papers/marton-2013-dependency-parsing-modern-standard-arabic/)
22. [**Turning on the Turbo: Fast Third-Order Non-Projective Turbo Parsers**André Martins, Miguel Almeida, Noah A. Smith*2013 · 97 citations*](https://md.research.elamur.ai/free/en/papers/martins-2013-turning-turbo-fast-third-order/)
23. [**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/)
24. [**Evaluation of Dependency Parsers on Unbounded Dependencies**Joakim Nivre, Laura Rimell, Ryan McDonald, et al.*2010 · 85 citations*](https://md.research.elamur.ai/free/en/papers/nivre-2010-evaluation-dependency-parsers-unbounded-dependencies/)
25. [**Improving Arabic Dependency Parsing with Lexical and Inflectional Morphological Features**Yuval Marton, Nizar Habash, Owen Rambow*2010 · 67 citations*](https://md.research.elamur.ai/free/en/papers/marton-2010-improving-arabic-dependency-parsing-lexical/)
26. [**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/)
27. [**Arabic aspect sentiment polarity classification using BERT**Mohammed M.Abdelgwad, Taysir Hassan A Soliman, Ahmed I.Taloba*2021 · 60 citations*](https://md.research.elamur.ai/free/en/papers/m-abdelgwad-2021-arabic-aspect-sentiment-polarity-classification/)
28. [**Automatic Evaluation and Analysis of Idioms in Neural Machine Translation**Christos Baziotis, Prashant Mathur, Eva Hasler*2023 · 40 citations*](https://md.research.elamur.ai/free/en/papers/baziotis-2023-automatic-evaluation-analysis-idioms-neural/)
29. [**Improving Arabic Dependency Parsing with Form-based and Functional Morphological Features**Yuval Marton, Nizar Habash, Owen Rambow*2011 · 21 citations*](https://md.research.elamur.ai/free/en/papers/marton-2011-improving-arabic-dependency-parsing-form/)
30. [**High-accuracy Annotation and Parsing of CHILDES Transcripts**Kenji Sagae, Eric Davis, Alon Lavie, et al.*2007 · 20 citations*](https://md.research.elamur.ai/free/en/papers/sagae-2007-high-accuracy-annotation-parsing-childes/)
31. [**Assessing the Cross-linguistic Utility of Abstract Meaning Representation**Shira Wein, Nathan Schneider*2024 · 17 citations*](https://md.research.elamur.ai/free/en/papers/wein-2024-assessing-cross-linguistic-utility-abstract/)
32. [**Survey of Abstract Meaning Representation: Then, Now, Future**Behrooz Mansouri*2025 · 8 citations*](https://md.research.elamur.ai/free/en/papers/mansouri-2025-survey-abstract-meaning-representation-then/)
33. [**It's absolutely divine! Can fine-grained sentiment analysis benefit from coreference resolution?**Orphee De Clercq, Veronique Hoste*2020 · 5 citations*](https://md.research.elamur.ai/free/en/papers/clercq-2020-it-s-absolutely-divine-can/)
34. [**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/)
35. [**From Trial by Fire to Sleep like a Baby: A Lexicon of Anxiety Associations for 20K English Multi-Word Expressions**Saif M. Mohammad*2026 · 1 citation*](https://md.research.elamur.ai/free/en/papers/mohammad-2026-trial-fire-sleep-like-baby/)
36. [**ITUNLP at MWE-2026 AdMIRe 2: A Zero-Shot LLM Pipeline for Multimodal Idiom Understanding and Ranking**Atakan Site, Oğuz Ali Arslan, Gülşen Eryiğit*2026 · 1 citation*](https://md.research.elamur.ai/free/en/papers/site-2026-itunlp-mwe-2026-admire-2/)
37. [**Bridging Cognition and Affect: Emotion-Aware Opinion Summarization using LLMs**Arnav Attri, Anuj Attri*2026*](https://md.research.elamur.ai/free/en/papers/attri-2026-bridging-cognition-affect-emotion-aware/)
38. [**Extending Czech Aspect-Based Sentiment Analysis with Opinion Terms: Dataset and LLM Benchmarks**Jakub Šmíd, Pavel Priban, Pavel Kral*2026*](https://md.research.elamur.ai/free/en/papers/smid-2026-extending-czech-aspect-based-sentiment/)
39. [**ID10M-JAM: Stress-Testing Idiom Identification Under Challenging Context**Kai Golan Hashiloni, Lior Livyatan, Ofri Hefetz, et al.*2026*](https://md.research.elamur.ai/free/en/papers/hashiloni-2026-id10m-jam-stress-testing-idiom/)
40. [**LST at MWE-2026 AdMIRe 2: Advancing Multimodal Idiomaticity Representation**Le Qiu, Yu-Yin Hsu, Emmanuele Chersoni*2026*](https://md.research.elamur.ai/free/en/papers/qiu-2026-lst-mwe-2026-admire-2/)
41. [**Measuring Idiomaticity in Text Embedding Models with epsilon-compositionality**Sondre Wold, Étienne Simon, Erik Velldal, et al.*2026*](https://md.research.elamur.ai/free/en/papers/wold-2026-measuring-idiomaticity-text-embedding-models/)
42. [**Lexicalised and non-lexicalized multi-word expressions in WordNet: a cross-encoder approach**Marek Maziarz, Łukasz Grabowski, Tadeusz Piotrowski, et al.*2023*](https://md.research.elamur.ai/free/en/papers/maziarz-2023-lexicalised-non-lexicalized-multi-word/)

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