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Abdul Samad

Abdul Samad has 5 papers in our library, in 2026, most of them on Sentiment & emotion, Speech & spoken language, Evaluation & benchmarks; often with Sandesh Kumar.

5 papers in our library · 2026

OpenAlex · h-index 0 · 9 works · 0 citations OpenAlex, 2026-10-14

📄 5 works in our library · 🔗 Cited 3 times in our library · ⭐ Paper Stars ranking: #10805

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

🎓Habib UniversityKarachi · Pakistan2025–2026 · 5 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 9The field of science this work belongs to (OpenAlex fields).Arts and Humanities · 5 worksComputer Science · 5 worksArtificial Intelligence · 5 worksLanguage and Linguistics · 5 worksPsychology · 1 workExperimental and Cognitive Psychology · 1 workSignal Processing · 1 workGeneral Social Sciences · 1 workSocial Sciences · 1 work

🧭 Topics 5Research subjects and languages the work is about.English · 1 workEvaluation & benchmarks · 1 workSentiment & emotion · 1 workSpeech & spoken language · 1 workGrammatical error correction & learner language · 1 work

 Works by year

2020s

20265 papers

 Papers

The most cited first (OpenAlex and our library).

  1. Cross-Domain Evaluation of Transformer-Based Models for Punjabi Speech Emotion Recognition (2026 · 1 citation)
    The paper addresses speech emotion recognition (SER) for Punjabi, a widely spoken but low-resource language.
  2. Development of Burushaski Speech - English Text Translation Dataset (2026 · 1 citation)
    Burushaski is a language isolate of northern Pakistan, spoken mainly in the Hunza, Nagar and Yasin valleys.
  3. HABIB_TAZ at SemEval-2026 Task 11: Disentangling Formal Logic from Content via Synthetic Training and Multi-Objective Optimization (2026 · 1 citation)
    The paper addresses SemEval-2026 Task 11. Systems must decide whether a syllogism's conclusion follows formally from its premises, regardless of how believable it is. The task covers 12 languages, and some tracks add distractor premises that the system must filter out. The authors target the "content effect", where…
  4. Corpora Generation for Urdu Grammatical Error Correction (2026)
    Urdu has many millions of speakers but almost no annotated parallel data. As a result, automatic grammatical error correction (GEC) for this language has received little study, and neural seq2seq models lack training material. The authors propose a pipeline that synthesizes training pairs without manual annotation…
  5. HU at SemEval-2026 Task 6: A Hybrid Discriminative Modeling of Political Clarity and Evasion (2026)
    This SemEval-2026 Task 6 (CLARITY) system from Habib University labels political interview question–answer pairs at two levels.

 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 3 times (of the 149,439 papers whose bibliographies we read); 2 citing papers with a page here →.

Updated

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