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D-Index & Metrics

Computer Science

D-Index
53
Citations
14721
World Ranking
4731
National Ranking
2201

Overview

Mona Diab is affiliated with Carnegie Mellon University in the United States and has contributed extensively to the field of computer science with a focus on artificial intelligence. Their research spans diverse areas such as natural language processing, topic modeling, and multimodal machine learning applications.

The scientist's publication record includes a significant number of works mainly in computer science, emphasizing artificial intelligence and subfields like computer vision and pattern recognition. Their scholarly output also touches on information systems, sociology and political science, and materials chemistry.

Key research topics associated with Mona Diab include:

  • Topic Modeling
  • Natural Language Processing Techniques
  • Hate Speech and Cyberbullying Detection
  • Text Readability and Simplification
  • Multimodal Machine Learning Applications
  • Advanced Text Analysis Techniques
  • Computational Physics and Python Applications

Frequent co-authors collaborating with Mona Diab are:

  • Badr AlKhamissi
  • Xian Li
  • Aslı Çelikyılmaz
  • Naman Goyal
  • Tianlu Wang

The venues where Mona Diab has frequently published include:

  • arXiv (Cornell University)
  • Artificial Intelligence Review
  • Leibniz-Zentrum für Informatik (Schloss Dagstuhl)
  • Journal of Nanoparticle Research
  • Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies

Selected recent papers authored or co-authored by Mona Diab are:

  • "Analysing Off-The-Shelf Options for Question Answering with Portuguese FAQs," 2022, Leibniz-Zentrum für Informatik (Schloss Dagstuhl)
  • "Few-shot Learning with Multilingual Language Models," 2021, arXiv (Cornell University)
  • "A Review on Language Models as Knowledge Bases," 2022, arXiv (Cornell University)
  • "Arabic natural language processing for Qur'anic research: a systematic review," 2022, Artificial Intelligence Review
  • "Toxicity assessment of nanoparticles in contact with the skin," 2022, Journal of Nanoparticle Research

Best Publications

  • SemEval-2017 Task 1: Semantic Textual Similarity Multilingual and Crosslingual Focused Evaluation

    Daniel M. Cer;Mona T. Diab;Eneko Agirre;Iñigo Lopez-Gazpio

  • SemEval-2017 Task 1: Semantic Textual Similarity - Multilingual and Cross-lingual Focused Evaluation

    Daniel Cer;Mona Diab;Eneko Agirre;Iñigo Lopez-Gazpio

  • SemEval-2012 Task 6: A Pilot on Semantic Textual Similarity

    Eneko Agirre;Daniel Cer;Mona Diab;Aitor Gonzalez-Agirre

  • MADAMIRA: A Fast, Comprehensive Tool for Morphological Analysis and Disambiguation of Arabic

    Arfath Pasha;Mohamed Al-Badrashiny;Mona Diab;Ahmed El Kholy

  • SemEval-2016 Task 1: Semantic Textual Similarity, Monolingual and Cross-Lingual Evaluation

    Eneko Agirre;Carmen Banea;Daniel M. Cer;Mona T. Diab

  • SemEval-2015 Task 2: Semantic Textual Similarity, English, Spanish and Pilot on Interpretability

    Eneko Agirre;Carmen Banea;Claire Cardie;Daniel Cer

  • SemEval-2014 Task 10: Multilingual Semantic Textual Similarity

    Eneko Agirre;Carmen Banea;Claire Cardie;Daniel Cer

  • *SEM 2013 shared task: Semantic Textual Similarity

    Eneko Agirre;Daniel Cer;Mona Diab;Aitor Gonzalez-Agirre

  • Automatic tagging of Arabic text: from raw text to base phrase chunks

    Mona Diab;Kadri Hacioglu;Daniel Jurafsky

  • SAMAR: Subjectivity and sentiment analysis for Arabic social media

    Muhammad Abdul-Mageed;Mona Diab;Sandra Kübler

  • FEQA: A Question Answering Evaluation Framework for Faithfulness Assessment in Abstractive Summarization

    Esin Durmus;He He;Mona Diab

  • An Unsupervised Method for Word Sense Tagging using Parallel Corpora

    Mona Diab;Philip Resnik

  • Subjectivity and Sentiment Analysis of Modern Standard Arabic

    Muhammad Abdul-Mageed;Mona Diab;Mohammed Korayem

  • Overview for the First Shared Task on Language Identification in Code-Switched Data

    Unknown

  • Overview for the First Shared Task on Language Identification in Code-Switched Data

    Thamar Solorio;Elizabeth Blair;Suraj Maharjan;Steven Bethard

  • AWATIF: A Multi-Genre Corpus for Modern Standard Arabic Subjectivity and Sentiment Analysis

    Muhammad Abdul-Mageed;Mona Diab

  • Arabic Morphological Tagging, Diacritization, and Lemmatization Using Lexeme Models and Feature Ranking

    Ryan Roth;Owen Rambow;Nizar Habash;Mona Diab

  • Conventional Orthography for Dialectal Arabic

    Nizar Habash;Mona Diab;Owen Rambow

  • The Bible as a Parallel Corpus: Annotating the "Book of 2000 Tongues"

    Philip Resnik;Mari Broman Olsen;Mona T. Diab

  • Modeling Sentences in the Latent Space

    Weiwei Guo;Mona Diab

  • Detecting Hallucinated Content in Conditional Neural Sequence Generation

    Chunting Zhou;Graham Neubig;Jiatao Gu;Mona Diab

Frequent Co-Authors

Owen Rambow
Owen Rambow Stony Brook University
Nizar Habash
Nizar Habash New York University Abu Dhabi
Thamar Solorio
Thamar Solorio Mohamed bin Zayed University of Artificial Intelligence
Julia Hirschberg
Julia Hirschberg Columbia University
Eneko Agirre
Eneko Agirre University of the Basque Country
Daniel Cer
Daniel Cer Google (United States)
Kathleen R. McKeown
Kathleen R. McKeown Columbia University
Rada Mihalcea
Rada Mihalcea University of Michigan–Ann Arbor
Janyce Wiebe
Janyce Wiebe University of Pittsburgh
Philip Resnik
Philip Resnik University of Maryland, College Park

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