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Haq Nawaz

Haq Nawaz has 2 papers in our library, in 2022–2025, most of them on Semitic languages, Question answering, Multilingual & cross-lingual NLP; often with Ali Al-Laith.

2 papers in our library · 2022–2025

OpenAlex · h-index 1 · 3 works · 2 citations OpenAlex, 2026-10-14

📄 2 works in our library · 🔗 Cited 5 times in our library · ⭐ Paper Stars ranking: #11818

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

🎓COMSATS University IslamabadIslamabad · Pakistan2017–2025 · 3 paperscurrent

From the bylines of their papers (OpenAlex, 2026-10-14), ORCID and Wikidata; institutions on papers are matched by machine.

 Fields, topics and concepts

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

📚 Shelves 4The field of science this work belongs to (OpenAlex fields).Artificial Intelligence · 2 worksComputer Science · 2 worksArts and Humanities · 1 workLanguage and Linguistics · 1 work

🧭 Topics 3Research subjects and languages the work is about.Semitic languages · 2 worksQuestion answering · 1 workMultilingual & cross-lingual NLP · 1 work

 Works by year

2020s

20251 paper20221 paper

 Papers

The most cited first (OpenAlex and our library).

  1. Stars at Qur'an QA 2022: Building Automatic Extractive Question Answering Systems for the Holy Qur'an with Transformer Models and Releasing a New Dataset (2022 · 4 citations)
    The paper describes a team's entry to the Qur'an QA 2022 shared task (OSACT5 @ LREC 2022). In this task a system receives a Modern Standard Arabic question and a short Classical Arabic Qur'anic passage, and it must extract the answer span. The official QRCD training set is small and repeats many questions across…
  2. Automated Generation of Arabic Verb Conjugations with Multilingual Urdu Translation: An NLP Approach (2025 · 1 citation)
    Arabic verbs inflect for tense, person, gender and number, and many forms are marked only by diacritics. This makes full conjugation tables hard to produce automatically. Urdu learners also have few computational resources that link these forms to their own language. The authors built a rule-based generator for…

 Co-authors here

1 co-author 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 5 times (of the 149,439 papers whose bibliographies we read); 4 citing papers with a page here →.

Updated

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