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Sajawel Ahmed

Sajawel Ahmed has 2 papers in our library, in 2022–2024, most of them on Semitic languages, Named entity recognition, Evaluation & benchmarks; often with Carl Kruse, Alexander Mehler, Rob van der Goot.

2 papers in our library · 2022–2024

OpenAlex · h-index 3 · 13 works · 31 citations OpenAlex, 2026-10-14

📄 2 works in our library · 🔗 Cited 8 times in our library · 2 more in our library without a page yet · ⭐ Paper Stars ranking: #11254

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

🎓Goethe University FrankfurtFrankfurt am Main · Germany2018–2023 · 6 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.

 Fields, topics and concepts

Of its works in our library, with the number of works on each.

📚 Shelves 5The field of science this work belongs to (OpenAlex fields).Arts and Humanities · 2 worksComputer Science · 2 worksArtificial Intelligence · 2 worksLanguage and Linguistics · 2 worksLiterature and Literary Theory · 2 works

🧭 Topics 3Research subjects and languages the work is about.Semitic languages · 2 worksEvaluation & benchmarks · 1 workNamed entity recognition · 1 work

💡 Concepts 1Key ideas and methods explained on our concept pages.Topic modeling · 1 work

 Works by year

2020s

20241 paper20221 paper

 Papers

The most cited first (OpenAlex and our library).

  1. Tafsir Dataset: A Novel Multi-Task Benchmark for Named Entity Recognition and Topic Modeling in Classical Arabic Literature (2022 · 2 citations)
    Classical Arabic (CA) has a vast historical literature but almost no NLP resources. The authors address this with the Tafsir Dataset, built from Tafsir Al-Tabari, a large Quranic exegesis (Turki Edition, 2001). They converted the text to TEI and split it into sentences with a heuristic that uses editorial punctuation…
  2. TafsirExtractor: Text Preprocessing Pipeline preparing Classical Arabic Literature for Machine Learning Applications (2024)
    Classical Arabic exegetical literature, such as the huge Quran commentary of Al-Tabari, lacks tooling that turns expert-annotated texts into the formats modern ML models need.

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. BIOfid Dataset: Publishing a German Gold Standard for Named Entity Recognition in Historical Biodiversity Literature ↗Proceedings of the 23rd Conference on Computational Natural Language Learning (CoNLL) · no summary yetSajawel Ahmed et al.2019 · 19 citations
  2. Tafsir Dataset: A Novel Multi-Task Benchmark for Named Entity Recognition and Topic Modeling in Classical Arabic LiteratureInternational Conference on Computational Linguistics (COLING)Sajawel Ahmed, Rob van der Goot, Misbahur Rehman, et al.2022 · 2 citations
  3. SenseFitting: Sense Level Semantic Specialization of Word Embeddings for Word Sense Disambiguation ↗arXiv:1907.13237 · no summary yetManuel Stoeckel, Sajawel Ahmed, Alexander Mehler2019 · 1 citation
  4. TafsirExtractor: Text Preprocessing Pipeline preparing Classical Arabic Literature for Machine Learning ApplicationsWorkshop on Open-Source Arabic Corpora and Processing Tools with Shared TasksCarl Kruse, Sajawel Ahmed2024

 Co-authors here

3 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 8 times (of the 149,439 papers whose bibliographies we read); 3 citing papers with a page here →.

Updated

This page in Markdown → https://md.research.elamur.ai/free/en/authors/sajawel-ahmed/