World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
57
Citations
13777
World Ranking
3817
National Ranking
1813

Overview

Owen Rambow is affiliated with Stony Brook University in the United States and has contributed extensively to the field of computer science, with a particular focus on artificial intelligence. Their research spans a range of topics within this domain, including natural language processing techniques, sentiment analysis and opinion mining, as well as advanced text analysis techniques.

Their body of work further extends into subfields such as information systems, language and linguistics, general social sciences, and communication.

Owen Rambow's recent publications include:

  • A General Framework for Domain-Specialization of Stance Detection (2021) - Proceedings of the International Florida Artificial Intelligence Research Society Conference
  • Open-Domain Frame Semantic Parsing Using Transformers (2020) - arXiv (Cornell University)
  • From Stance to Concern: Adaptation of Propositional Analysis to New Tasks and Domains (2022) - Findings of the Association for Computational Linguistics: ACL 2022
  • Improving Opinion Mining Through Automatic Prompt Construction (2024) - Journal of Information Systems and Telecommunication (JIST)
  • NormSAGE: Multi-Lingual Multi-Cultural Norm Discovery from Conversations On-the-Fly (2022) - arXiv (Cornell University)

Frequent co-authors collaborating with Owen Rambow include:

  • Adil Soubki
  • John Murzaku
  • Peter Zeng
  • Brodie Mather
  • Bonnie J. Dorr

Most of Rambow's work is published in venues such as:

  • arXiv (Cornell University)
  • Findings of the Association for Computational Linguistics: ACL 2022
  • Proceedings of the International Florida Artificial Intelligence Research Society Conference
  • Journal of Information Systems and Telecommunication (JIST)

The main research themes in Owen Rambow's work focus on:

  • Topic Modeling
  • Natural Language Processing Techniques
  • Sentiment Analysis and Opinion Mining
  • Advanced Text Analysis Techniques
  • Speech and Dialogue Systems
  • Language, Discourse, Communication Strategies
  • Text Readability and Simplification

Best Publications

  • Sentiment Analysis of Twitter Data

    Apoorv Agarwal;Boyi Xie;Ilia Vovsha;Owen Rambow

  • Proceedings of the 2016 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies

    Kevin Knight;Ani Nenkova;Owen Rambow

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

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

  • Arabic Tokenization, Part-of-Speech Tagging and Morphological Disambiguation in One Fell Swoop

    Nizar Habash;Owen Rambow

  • Conceptual modeling through linguistic analysis using LIDA

    Scott P. Overmyer;Benoit Lavoie;Owen Rambow

  • Exploiting a probabilistic hierarchical model for generation

    Srinivas Bangalore;Owen Rambow

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

    Ryan Roth;Owen Rambow;Nizar Habash;Mona Diab

  • MAGEAD: A Morphological Analyzer and Generator for the Arabic Dialects

    Nizar Habash;Owen Rambow

  • A Multi-Representational and Multi-Layered Treebank for Hindi/Urdu

    Rajesh Bhatt;Bhuvana Narasimhan;Martha Palmer;Owen Rambow

  • Automated sentence planning in a task classification system

    Marilyn A. Walker;Owen Christopher Rambow;Monica Rogati

  • Conventional Orthography for Dialectal Arabic

    Nizar Habash;Mona Diab;Owen Rambow

  • Arabic Diacritization through Full Morphological Tagging

    Nizar Habash;Owen Rambow

  • Evaluation Metrics for Generation

    Srinivas Bangalore;Owen Rambow;Steve Whittaker

  • System and method for natural language generation

    Srinivas Bangalore;Owen Christopher Rambow

  • The madar Arabic dialect corpus and lexicon

    Houda Bouamor;Nizar Habash;Mohammad Salameh;Wajdi Zaghouani

  • Summarizing email threads

    Owen Rambow;Lokesh Shrestha;John Chen;Chirsty Lauridsen

  • Morphological Analysis and Disambiguation for Dialectal Arabic

    Nizar Habash;Ryan Roth;Owen Rambow;Ramy Eskander

  • D-Tree Grammars

    Owen Rambow;K. Vijay-Shanker;David Weir

  • SPoT: a trainable sentence planner

    Marilyn A. Walker;Owen Rambow;Monica Rogati

  • Training a sentence planner for spoken dialogue using boosting

    Marilyn A. Walker;Owen C. Rambow;Monica Rogati

  • Parsing arabic dialects

    David Chiang;Mona T. Diab;Nizar Habash;Owen Rambow

  • A Morphological Analyzer and Generator for the Arabic Dialects

    Nizar Habash;Owen Rambow

Frequent Co-Authors

Nizar Habash
Nizar Habash New York University Abu Dhabi
Mona Diab
Mona Diab Carnegie Mellon University
Marilyn A. Walker
Marilyn A. Walker University of California, Santa Cruz
Srinivas Bangalore
Srinivas Bangalore Interactions LLC
Martha Palmer
Martha Palmer University of Colorado Boulder
Bonnie J. Dorr
Bonnie J. Dorr University of Florida
Kathleen R. McKeown
Kathleen R. McKeown Columbia University
Julia Hirschberg
Julia Hirschberg Columbia University
Teruko Mitamura
Teruko Mitamura Carnegie Mellon University
Rebecca J. Passonneau
Rebecca J. Passonneau Pennsylvania State University

If you think any of the details on this page are incorrect, let us know.

Report an issue

We appreciate your kind effort to assist us to improve this page, it would be helpful providing us with as much detail as possible in the text box below:

Related Online Degrees & Career Pathways

Exploring accelerated associate degree online programs can be a great way to build foundational skills quickly, often within six months. These programs are ideal for students looking to enter the workforce fast or transfer credits towards a bachelor's degree in Computer Science.

Budget-conscious learners should also consider seeking out the cheapest online college options as a cost-effective pathway to a degree. The flexibility and affordability of online learning open doors for more people to pursue high-demand tech fields without incurring massive student debt.

For those interested in combining technology and business, an affordable online business degree can provide the necessary management and entrepreneurial skills to complement a technical background.

Finally, students wanting a highly specialized tech career should look into earning an engineering online degree. These programs offer flexible, in-depth training in various engineering disciplines, preparing graduates for innovative roles in the evolving tech landscape.

Best Scientists Citing Owen Rambow

Trending Scientists