World's Best Scientists 2026 revealed!
Dragomir R. Radev

Dragomir R. Radev

D-Index & Metrics

Computer Science

D-Index
87
Citations
33348
World Ranking
718
National Ranking
378

Research.com Recognitions

  • 2020 - Fellow of the Association for the Advancement of Artificial Intelligence (AAAI) For significant contributions to natural language processing and computational linguistics, and development of widely used techniques in text summarization, question answering, and education.
  • 2018 - Fellow of the American Association for the Advancement of Science (AAAS)
  • 2015 - ACM Fellow For contributions to natural language processing and computational linguistics
  • 2008 - ACM Distinguished Member

Overview

Dragomir R. Radev was affiliated with Yale University in the United States. Their research primarily focused on the field of computer science, with a significant number of publications in subfields such as artificial intelligence, molecular biology, computer vision and pattern recognition, information systems, and signal processing.

The main topics covered in their work included topic modeling, natural language processing techniques, advanced text analysis techniques, semantic web and ontologies, multimodal machine learning applications, text readability and simplification, and advanced graph neural networks.

Notable recent papers authored or co-authored by Dragomir R. Radev include:

  • Helping Cancer Patients to Choose the Best Treatment: Towards Automated Data-Driven and Personalized Information Presentation of Cancer Treatment Options (2024), published at Leibniz-Zentrum für Informatik (Schloss Dagstuhl)
  • BLOOM: A 176B-Parameter Open-Access Multilingual Language Model (2022), published on arXiv (Cornell University)
  • Neural Natural Language Processing for unstructured data in electronic health records: A review (2022), published in Computer Science Review
  • BRIO: Bringing Order to Abstractive Summarization (2022), published in Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)
  • COVID-19 information retrieval with deep-learning based semantic search, question answering, and abstractive summarization (2021), published in npj Digital Medicine

Frequent co-authors included:

  • Caiming Xiong (19 publications)
  • Alexander R. Fabbri (16 publications)
  • Ansong Ni (14 publications)
  • Yilun Zhao (13 publications)
  • Irene Li (12 publications)

The scientist regularly published in venues such as:

  • arXiv (Cornell University) with 70 publications
  • Transactions of the Association for Computational Linguistics with 4 publications
  • Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers) with 3 publications
  • Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies with 2 publications
  • bioRxiv (Cold Spring Harbor Laboratory) with 2 publications

Dragomir R. Radev also authored books, including Natural Language Interfaces to Databases (2023), published by Morgan & Claypool Publishers.

Awards received during their career included:

  • Fellow of the Association for the Advancement of Artificial Intelligence (AAAI) in 2020, recognized for contributions in natural language processing, computational linguistics, text summarization, question answering, and education
  • Fellow of the American Association for the Advancement of Science (AAAS) in 2018
  • ACM Fellow in 2015, for contributions to natural language processing and computational linguistics
  • ACM Distinguished Member in 2008

Best Publications

  • LexRank: graph-based lexical centrality as salience in text summarization

    Günes Erkan;Dragomir R. Radev

  • Centroid-based summarization of multiple documents

    Dragomir R. Radev;Hongyan Jing;Małgorzata Styś;Daniel Tam

  • BLOOM: A 176B-Parameter Open-Access Multilingual Language Model

    Unknown

  • How to Analyze Political Attention with Minimal Assumptions and Costs

    Kevin M. Quinn;Burt L. Monroe;Michael Colaresi;Michael H. Crespin

  • TimeML: Robust Specification of Event and Temporal Expressions in Text

    James Pustejovsky;José M. Castaño;Robert Ingria;Roser Saurí

  • Rumor has it: Identifying Misinformation in Microblogs

    Vahed Qazvinian;Emily Rosengren;Dragomir R. Radev;Qiaozhu Mei

  • Introduction to the special issue on summarization

    Dragomir R. Radev;Eduard Hovy;Kathleen McKeown

  • Spider: A Large-Scale Human-Labeled Dataset for Complex and Cross-Domain Semantic Parsing and Text-to-SQL Task

    Tao Yu;Rui Zhang;Kai Yang;Michihiro Yasunaga

  • Centroid-based summarization of multiple documents: sentence extraction, utility-based evaluation, and user studies

    Dragomir R. Radev;Hongyan Jing;Malgorzata Budzikowska

  • Generating natural language summaries from multiple on-line sources

    Dragomir R. Radev;Kathleen R. McKeown

  • Generating summaries of multiple news articles

    Kathleen McKeown;Dragomir R. Radev

  • Crosslingual Generalization through Multitask Finetuning

    Unknown

  • System, method and program product for interactive natural dialog

    Joyce Yue Chai;Sunil Subramanyam Govindappa;Nandakishore Kambhatla;Tetsunosuke Fujisaki

  • Identifying gene-disease associations using centrality on a literature mined gene-interaction network

    Arzucan Özgür;Thuy Vu;Güneş Erkan;Dragomir R. Radev

  • MEAD - A Platform for Multidocument Multilingual Text Summarization

    Dragomir R. Radev;Timothy Allison;Sasha Blair-Goldensohn;John Blitzer

  • UnifiedSKG: Unifying and Multi-Tasking Structured Knowledge Grounding with Text-to-Text Language Models

    Unknown

  • Probabilistic question answering on the Web

    Dragomir R. Radev;Weiguo Fan;Hong Qi;Harris Wu

  • Multi-News: A Large-Scale Multi-Document Summarization Dataset and Abstractive Hierarchical Model

    Alexander R. Fabbri;Irene Li;Tianwei She;Suyi Li

  • SummEval: Re-evaluating Summarization Evaluation

    Alexander R. Fabbri;Wojciech Kryscinski;Bryan McCann;Caiming Xiong

  • The ACL anthology network corpus

    Dragomir R. Radev;Pradeep Muthukrishnan;Vahed Qazvinian;Amjad Abu-Jbara

  • LexRank: Graph-based Centrality as Salience in Text Summarization

    Gunes Erkan;Dragomir R. Radev

  • LexPageRank: Prestige in Multi-Document Text Summarization

    Günes Erkan;Dragomir R. Radev

  • The ACL Anthology Network corpus

    Dragomir R. Radev;Pradeep Muthukrishnan;Vahed Qazvinian

  • SummEval: Re-evaluating Summarization Evaluation

    Alexander R. Fabbri;Wojciech Kryściński;Bryan McCann;Caiming Xiong

Frequent Co-Authors

Rada Mihalcea
Rada Mihalcea University of Michigan–Ann Arbor
Kathleen R. McKeown
Kathleen R. McKeown Columbia University
Caiming Xiong
Caiming Xiong Salesforce (United States)
Weiguo Fan
Weiguo Fan University of Iowa
Simone Teufel
Simone Teufel University of Cambridge
Honglak Lee
Honglak Lee University of Michigan–Ann Arbor
Min-Yen Kan
Min-Yen Kan National University of Singapore
Horacio Saggion
Horacio Saggion Pompeu Fabra University
Eduard Hovy
Eduard Hovy Carnegie Mellon University

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