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Gözde Gül Şahin

Gözde Gül Şahin has 2 papers in our library, in 2018–2019, most of them on Low-resource languages; often with Andreas Rücklé, Claudia Schulz, Edwin Simpson.

2 papers in our library · 2018–2019

OpenAlex · ORCID · h-index 10 · 39 works · 461 citations OpenAlex, 2026-10-14

📄 2 works in our library · 🔗 Cited 158 times in our library · 2 more in our library without a page yet · ⭐ Paper Stars ranking: #4112

The profile is the library's match of the name; two people with one name are not always told apart.

Elsewhere: Google Scholar · Semantic Scholar · dblp · ACL Anthology

 Affiliations

🎓Koç UniversityIstanbul · Türkiye2021–2026 · 11 paperscurrent🎓Friedrich-Alexander-Universität Erlangen-NürnbergErlangen · Germany2026 · 1 papercurrent🎓Technische Universität DarmstadtDarmstadt · Germany2018–2023 · 14 papers🎓Istanbul Technical UniversityIstanbul · Türkiye2014–2018 · 4 papers

From the bylines of their papers (OpenAlex, 2026-10-14), ORCID and Wikidata; institutions on papers are matched by machine. 2 more institutions on single bylines are not listed.

 Concepts, shelves and topics

Of its works in our library: the number of works on each and its rating among them.

📚 Shelves 4The field of science this work belongs to (OpenAlex fields).Artificial Intelligence · 2 worksArts and Humanities · 2 worksComputer Science · 2 worksLanguage and Linguistics · 2 works

🧭 Topics 1Research subjects and languages the work is about.Low-resource languages · 1 work

 Works by year

2010s

20191 paperText Processing Like Humans Do: Visually Attacking and Shielding NLP Systems20181 paperData Augmentation via Dependency Tree Morphing for Low-Resource Languages

 Papers

The most cited first (OpenAlex and our library).

  1. Data Augmentation via Dependency Tree Morphing for Low-Resource Languages (2018 · 170 citations)
    Neural models perform poorly when labeled data is scarce. Unlike computer vision or speech processing, NLP has almost no simple ways to artificially enlarge the training set. The authors carry over two classic image-processing operations to dependency trees. "Cropping" (crop) keeps the predicate with only one subject…
  2. Text Processing Like Humans Do: Visually Attacking and Shielding NLP Systems (2019 · 147 citations)
    People often replace letters with look-alike symbols to write slang such as "1337", hide insults, or spoof domain names, and readers decode these easily.

All works

4 works of theirs in our library, the most cited first; 2 with a page here, the others link their original until we summarise them.

  1. Data Augmentation via Dependency Tree Morphing for Low-Resource LanguagesGözde Gül Şahin, Mark SteedmanConference on Empirical Methods in Natural Language Processing (EMNLP) · 170 citations
  2. Text Processing Like Humans Do: Visually Attacking and Shielding NLP SystemsSteffen Eger, Gözde Gül Şahin, Andreas Rücklé, et al.Conference of the North American Chapter of the Association for Computational Linguistics (NAACL) · 147 citations
  3. LINSPECTOR: Multilingual Probing Tasks for Word Representations · original ↗ · no summary yet · Computational LinguisticsGözde Gül Şahin et al.2020 · 35 citations
  4. Metric-Based In-context Learning: A Case Study in Text Simplification · original ↗ · no summary yet · Proceedings of the 16th International Natural Language Generation ConferenceSubhadra Vadlamannati, Gözde Şahin2023 · 9 citations

 Co-authors here

8 co-authors with a page, the most papers together first.

Venues

Where their works here were published, the most works first, with the editions of those that have a page.

 Cited by

Papers of our library cite their works 158 times (of the 141,840 papers whose bibliographies we read); 14 citing papers with a page here →.

Updated

This page in Markdown → https://md.research.elamur.ai/free/en/authors/gozde-gul-sahin/