Muhammad Imran
Muhammad Imran has 3 papers in our library, in 2023–2025, most of them on Semitic languages, Universal Dependencies, Low-resource languages; often with Reem Suwaileh, Tamer Elsayed, Carlos Gómez-Rodríguez.
OpenAlex · ORCID · Wikidata · h-index 44 · 138 works · 6,957 citations OpenAlex, 2026-10-14
📄 3 works in our library · 🔗 Cited 12 times in our library · ⭐ Paper Stars ranking: #9132
Affiliations
Fields, topics and concepts
📚 Shelves 6The field of science this work belongs to (OpenAlex fields).Artificial Intelligence · 3 worksArts and Humanities · 3 worksComputer Science · 3 worksLanguage and Linguistics · 3 worksGeography, Planning and Development · 1 workSocial Sciences · 1 work
🧭 Topics 5Research subjects and languages the work is about.Semitic languages · 2 worksLow-resource languages · 1 workUniversal Dependencies · 1 workEnglish · 1 workEvaluation & benchmarks · 1 work
Works by year
2020s
Papers
- IDRISI-RA: The First Arabic Location Mention Recognition Dataset of Disaster Tweets (2023 · 9 citations)
Since Twitter turned off tweet geotagging in 2019, responders must infer where things happen from the words people write. - Parsing the Switch: LLM-Based UD Annotation for Complex Code-Switched and Low-Resource Languages (2025 · 5 citations)
The paper tackles syntactic annotation of code-switched text, where monolingual parsers generalise poorly and annotated data hardly exists. - IDRISI-D: Arabic and English Datasets and Benchmarks for Location Mention Disambiguation over Disaster Microblogs (2023 · 5 citations)
Disaster-related posts on X often mention places, but users rarely enable geotagging. Response teams therefore need tools that link a textual location mention to the correct entry in a gazetteer. This task, Location Mention Disambiguation (LMD), has very few public microblog datasets in English and none in Arabic.…
Co-authors here
Venues
- Annual Meeting of the Association for Computational Linguistics (ACL): ACL 2023
- Arabic Natural Language Processing Conference (ArabicNLP): ArabicNLP 2023
- Findings of the Association for Computational Linguistics: Findings of the Association for Computational Linguistics 2025
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