1. |
M. Sharjeel, I. Muneer, S. Nosheen, R. Nawab, and P. Rayson (2023), "Cross-Lingual Text Reuse Detection at Document Level for English-Urdu Language Pair", ACM Transactions on Asian and Low-Resource Language, Impact Factor: 1.413
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2. |
H. Hafeez, I. Muneer, M. Sharjeel, M. Ashraf, and R. Nawab (2023), "Urdu Short Paraphrase Detection at Sentence Level", ACM Transactions on Asian and Low-Resource Language Information Processing, Impact Factor: 1.471
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3. |
J. Shafi, R. Nawab, and P. Rayson (2023), "Semantic Tagging for the Urdu Language: Annotated Corpusand Multi-Target Classification Methods", ACM Transactions on Asian and Low-Resource Language, pp: 1-32, Impact Factor: 1.413
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4. |
M. Ashraf, R. Nawab, and F. Nie (2023), "Tran-Switch: A transfer learning approach for sentence level cross-genre author profiling on code-switched English-RomanUrdu Text
", Information Processing & Management, Impact Factor: 7.466
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5. |
I. Muneer, G. Fatima, M. Khan, R. Nawab, and A. Saeed (2022), "Developing a Large Benchmark Corpus for Urdu Semantic Word Similarity", ACM Transactions on Asian and Low-Resource Language Information Processing (TALLIP), DOI: https://doi.org/10.1145/3566124, Impact Factor: 1.413
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6. |
I. Muneer, and R. Nawab (2022), "Develop corpora and methods for cross-lingual text reuse detection for English Urdu language pair at lexical, syntactical, and phrasal levels
", Language Resources and Evaluation, Impact Factor: 1.835
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7. |
I. Muneer and R. Nawab (2022), "Cross-Lingual Text Reuse Detection at Sentence Level for English-Urdu Language Pair", Computer Speech & Language (Accepted), Impact Factor: 1.899
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8. |
I. Ameer, G. Sidorov, H. Gómez-Adorno and R. Nawab (2022), "Multi-Label Emotion Classification on Code-Mixed Text: Data and Methods", IEEE Access, pp: 8779-8789, Vol: 10, ISSN: 2169-3536, DOI: 10.1109/ACCESS.2022.3143819, Impact Factor: 3.367
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9. |
J. Shafi, H. Iqbal, R. Nawab and P. Rayson (2021), "Urdu Natural Language Toolkit", Natural Language Engineering, Impact Factor: 1.465
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10. |
A. Saeed, R. Nawab and M. Stevenson (2021), "Investigating the Feasibility of Deep Learning Methods for Urdu Word Sense Disambiguation", ACM Transactions on Asian and Low-Resource Language Information Processing (TALLIP), Impact Factor: 1.4
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11. |
G. Fatima, R. Nawab, M. Khan and A. Saeed (2021), "Developing a Cross-lingual Semantic Word Similarity Corpus for English-Urdu Language Pair", ACM Transactions on Asian and Low-Resource Language Information Processing (TALLIP), Impact Factor: 1.4
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12. |
I. Muneer and R. Nawab (2021), "Cross-Lingual Text Reuse Detection using Translation plus Monolingual Analysis for English-Urdu Language Pair", ACM Transactions on Asian and Low-Resource Language Information Processing (TALLIP), Impact Factor: 1.4
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13. |
I. Safder, Z. Mehmood, R. Sarwar, S. Hassan, F. Zaman, R. Nawab, F. Bukhari, R. Abbasi, S. Alelyani, N. Aljohani, R. Nawaz (2021), "Sentiment analysis for Urdu online reviews using deep learning models", Expert Systems, Vol: First published: 28 June 2021, Impact Factor: 1.546
(External URL)
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14. |
M. Tasadduq, M. Khan, R. Nawab, M. Jamal, and M. Chaudhry (2021), "Exploring the Effects of Gamification on Students with Rote Learning Background while Learning Computer Programming", Computer Applications in Engineering Education , Vol: Published Online: 18 May 2021, Impact Factor: 0.856
(External URL)
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15. |
Z. Mahmood , I. Safder, R. Nawab, F. Bukhari, S. Alelyani, S. Hassan, N. Aljohani, R. Nawaz (2020), "Deep Sentiments in Roman Urdu Text using Recurrent Convolutional Neural Network Model", Information Processing & Management, Elsevier (accepted), Impact Factor: 3.892
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16. |
K. Shahzad, R. Nawab, A. Abid, K. Sharif, F. Ali, F. Aslam, and A. Mazhar (2019), "A Process Model Collection and Gold Standard Correspondences for Process Model Matching", IEEE ACCESS, pp: 30708-30723, Vol: 7, Issue: 1, Standard: 2169-3536, Impact Factor: 3.557
(External URL)
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17. |
A. Saeed, R. Nawab, M. Stevenson, P. Rayson (2019), "A Sense Annotated Corpus for All-Words Urdu Word Sense Disambiguation", ACM Transactions on Asian and Low-Resource Language Information Processing (TALLIP) , Impact Factor: 0.339
(External URL)
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18. |
M. Ashraf, R. Nawab and F. Nie (2019), "A Study of Deep Learning Methods for Same-genre and Cross-genre Author Profiling", Journal of Intelligent & Fuzzy System (accepted) , Impact Factor: 1.637
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19. |
I. Ameer, G. Sidorov and R. Nawab (2019), "Author Profiling for Age and Gender Using Combinations of Types of Features", Journal of Intelligent and Fuzzy Systems (JIFS), Impact Factor: 1.426
(External URL)
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20. |
M. Ashraf, R. Nawab and F. Nie (2019), "Author Profiling using Bi-lingual Tweets", Journal of Intelligent and Fuzzy Systems (JIFS) (accepted), Impact Factor: 1.637
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21. |
I. Haneef, R. Nawab, E. Munir, and I. Bajwa (2019), "Design and Development of a Large Cross-Lingual Plagiarism Corpus for Urdu-English Language Pair ", Scientific Programming, Impact Factor: 1.344
(External URL)
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22. |
K. Shahzad, S. Zaheer, R. Nawab, F. Aslam (2019), "On Comparing Manual and Automatic Generated Textual Descriptions of Business Process Models", Journal of Software: Evolution and Process (accepted), Impact Factor: 1.167
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23. |
A. Saeed, R. Nawab, M. Stevenson, P. Rayson (2018), "A word sense disambiguation corpus for Urdu", Language Resources and Evaluation (LRE), Springer, pp: pp. 1-22, Impact Factor: 0.656
(External URL)
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24. |
I. Muneer, M. Sharjeel, M. Iqbal, R. Nawab and P. Rayson ( (2018), "CLEU - A Cross-Language English-Urdu Corpus and Benchmark For Text Reuse Experiments", Journal of the Association for Information Science and Technology (JASIST) , Published Online: 19 November, 2018, Impact Factor: 2.322
(External URL)
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25. |
M. Fatima, S. Anwar, A. Naveed, W. Arshad, R. Nawab, M. Iqbal and A. Masood (2018), "Multilingual SMS-based Author Profiling: Data and Methods
", Natural Language Engineering, Cambridge University Press, , pp: 695-724, Vol: 24, Issue: 5, Impact Factor: 1.065
(External URL)
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26. |
S. Sameen, M. Sharjeel, R. Nawab, P. Rayson and I. Muneer (2017), "Measuring Short Text Reuse For The Urdu Language", IEEE ACCESS, pp: 1-1, Vol: PP, Issue: 99, Standard: 2169-3536, Impact Factor: 3.244
(External URL)
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27. |
M. Fatima, K. Hasan, S. Anwar and R. Nawab (2017), "Multi-lingual Author Profiling on Facebook", Information Processing & Management, Elsevier , pp: 886–904, Vol: 53, Issue: 4, Impact Factor: 2.391
(External URL)
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28. |
R. Nawab, M. Stevenson and P. Clough, (2016), "An IR-based Approach Utilising Query Expansion for Plagiarism Detection in MEDLINE", IEEE/ACM Transactions on Computational Biology and Bioinformatics. , Impact Factor: 1.438
(External URL)
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29. |
M. Sharjeel, R. Nawab, P. Rayson (2016), "COUNTER - COrpus of Urdu News TExt Reuse", Language Resources and Evaluation, Vol: Published Online: 10 September 2016, Impact Factor: 0.975
(External URL)
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30. |
R. Nawab, M. Stevenson and P. Clough (2013), "Comparing Medline Citations using Modified N-grams", Journal of the American Medical Informatics Association (JAMIA), Impact Factor: 3.609
(External URL)
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