Biography:Mona Diab
| Born | Egypt |
|---|---|
| Alma mater | University of Maryland (PhD in Computational Linguistics) The George Washington University (MSc in Computer Science) The American University in Cairo(BSc in Computer Science) Helwan University in Cairo (BSc in Tourist Guidance/Egyptology & Archaeology) |
| Scientific career | |
| Fields | Computer science Computational linguistics Applied machine learning |
| Institutions | Carnegie Mellon University The George Washington University Facebook AI Columbia University Stanford University |
| Thesis | Word Sense Disambiguation within a Multilingual Framework(2003) |
| Doctoral advisor | Philip Resnik (University of Maryland, College Park) |
| Postdoc advisor | Dan Jurafsky (Stanford University) |
| Website | Personal website |
Mona Talat Diab (Arabic: منى طلعت دياب) is a computer science professor and director of Carnegie Mellon University's Language Technologies Institute. Previously, she was a professor at George Washington University and a research scientist with Facebook AI. Her research focuses on natural language processing, computational linguistics, cross lingual/multilingual processing, computational socio-pragmatics, Arabic language processing, and applied machine learning.[1]
Education
Diab completed her M.Sc. in computer science with a major in machine learning and artificial intelligence at The George Washington University (1997) and her Ph.D. in computational linguistics at the University of Maryland, Linguistics Department and University of Maryland Institute for Advanced Computer Studies (UMIACS) in 2003, under the supervision of Philip Resnik. She was also a postdoctoral research scientist at Stanford University (2003–2005) under the mentorship of Dan Jurafsky, where she was a part of the Stanford NLP Group.[2][3]
Career
Research
Diab's research interests include several areas in computational linguistics/natural language processing, like conversational AI, computational lexical semantics, multilingual and cross lingual processing, social media processing with an emphasis on computational socio- pragmatics, information extraction & text analytics, machine translation.[4] Besides this, she also has special interests in Arabic NLP and low resource scenarios.[5]
Diab co-established two research trends in the computational linguistics field, computational approaches to linguistic code switching in 2007 and semantic textual similarity in 2010.[2]
Diab together with Nizar Habash and Owen Rambow, co-founded CADIM in 2005, a global reference point in Arabic dialect processing.[6]
Awards and recognition
- Selected as one of top 150 leaders and visionaries in AI nationwide to participate in White House AI Summit in Government, Washington, D.C., US, September 2019[2]
Publications
Diab has over 250 publications, and she is an acting editor for several scientific journals.[7]
Selected publications
- Semeval-2012 task 6: A pilot on semantic textual similarity. E. Agirre, D. Cer, M. Diab, A. Gonzalez-Agirre. *SEM 2012: The First Joint Conference on Lexical and Computational Semantics–Volume 1: Proceedings of the main conference and the shared task, and Volume 2: Proceedings of the Sixth International Workshop on Semantic Evaluation (SemEval 2012)
- Predictive linguistic features of schizophrenia. ES Kayi, M Diab, L Pauselli, M Compton, G Coppersmith. arXiv preprint arXiv:1810.09377
- Ideological perspective detection using semantic features. H Elfardy, M Diab, C Callison-Burch – Proceedings of *SEM 2015
- DeSePtion: Dual sequence prediction and adversarial examples for improved fact-checking. Christopher Hidey, Tuhin Chakrabarty, Tariq Alhindi, Siddharth Varia, Kriste Krstovski, Mona Diab, Smaranda Muresan, 2020
- Does Causal Coherence Predict Online Spread of Social Media? Pedram Hosseini, Mona Diab, David A Broniatowski. Proceedings of International Conference on Social Computing, Behavioral-Cultural Modeling and Prediction and Behavior Representation in Modeling and Simulation, 2019.
- Diversity, Density, and Homogeneity: Quantitative Characteristic Metrics for Text Collections. YA Lai, X Zhu, Y Zhang, M Diab, arXiv preprint arXiv:2003.08529, 2020[8]
- Readability of written medicine information materials in Arabic language: expert and consumer evaluation. S Al Aqeel, N Abanmy, A Aldayel, H Al-Khalifa, M Al-Yahya, M Diab. BMC health services research 18 (1), 1–7, 2019
- Unsupervised word mapping using structural similarities in monolingual embeddings. H Aldarmaki, M Mohan, M Diab – Transactions of the Association for Computational Linguistics, 2018
- An unsupervised method for word sense tagging using parallel corpora M Diab, P Resnik. Proceedings of ACL 2002
- Overview for the first shared task on language identification in code-switched data. Thamar Solorio, Elizabeth Blair, Suraj Maharjan, Steven Bethard, Mona Diab, Mahmoud Ghoneim, Abdelati Hawwari, Fahad AlGhamdi, Julia Hirschberg, Alison Chang, Pascale Fung. Proceedings of the First Workshop on Computational Approaches to Code Switching, 2014
- Modeling sentences in the latent space. W Guo, M Diab – ACL 20 12
- Task-based evaluation of multiword expressions: a pilot study in statistical machine translation. M Carpuat, M Diab – NAACL-HLT 2010
- Rumor detection and classification for twitter data. S Hamidian, MT Diab – arXiv preprint arXiv:1912.08926, 2019
- Subgroup detection in ideological discussions. A Abu-Jbara, P Dasigi, M Diab, D Radev – ACL 2012
- Madamira: A fast, comprehensive tool for morphological analysis and disambiguation of arabic. A. Pasha, M. Al-Badrashiny, M. Diab, A. El Kholy, R. Eskander, N. Habash, M. Pooleery, O. Rambow, R. Roth. LREC 14, 1094–1101. 2014
- Context-Aware Self-Attentive Natural Language Understanding for Task-Oriented Chatbots. A. Gupta, P. Zhang, G. Lalwani, M. Diab. EMNLP 2019
- A multitask learning approach for diacritic restoration. S. Alqahtani, A. Mishra, M. Diab. ACL 2020
References
- ↑ "Mona Diab". https://scholar.google.com/citations?user=-y6SIhQAAAAJ&hl=en.
- ↑ 2.0 2.1 2.2 "Mona T. Diab". https://web.seas.gwu.edu/mtdiab/.
- ↑ "Home Page for Mona Talat Diab". http://www1.cs.columbia.edu/~mdiab/.
- ↑ "Mona Diab | School of Engineering & Applied Science | The George Washington University". https://www.seas.gwu.edu/mona-diab.
- ↑ "KDD 2020 | Invited Speakers: Mona Diab - Mona Diab". https://www.kdd.org/kdd2020/speakers/view_ads_speakers/mona-diab.
- ↑ "CADIM Consortium" (in en-US). https://www.cadim.net/.
- ↑ "Mona Diab". https://scholar.google.com/citations?user=-y6SIhQAAAAJ&hl=en.
- ↑ "Mona Diab" (in en). https://www.amazon.science/author/mona-diab.
External links
- Mona Diab publications indexed by Google Scholar
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