World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
100
Citations
39283
World Ranking
371
National Ranking
204

Research.com Recognitions

  • 2014 - Fellow of the American Association for the Advancement of Science (AAAS)
  • 2011 - ACM Fellow For contributions to machine learning and natural language processing.

Overview

Dan Roth is affiliated with the University of Pennsylvania in the United States. Their research primarily centers on computer science, with a strong focus on artificial intelligence, computer vision and pattern recognition, information systems, management science and operations research, and computer networks and communications.

The scientist has contributed extensively to the fields of topic modeling, natural language processing techniques, multimodal machine learning applications, advanced text analysis techniques, explainable artificial intelligence (XAI), semantic web and ontologies, and data quality and management.

Dan Roth's recent papers include:

  • Recent Advances in Natural Language Processing via Large Pre-trained Language Models: A Survey (2023, ACM Computing Surveys)
  • Beyond the Imitation Game: Quantifying and extrapolating the capabilities of language models (2022, arXiv (Cornell University))
  • Recent Advances in Natural Language Processing via Large Pre-Trained Language Models: A Survey (2021, arXiv (Cornell University))
  • Did Aristotle Use a Laptop? A Question Answering Benchmark with Implicit Reasoning Strategies (2021, Transactions of the Association for Computational Linguistics)
  • Visual Pivoting for (Unsupervised) Entity Alignment (2021, Proceedings of the AAAI Conference on Artificial Intelligence)

Frequent co-authors in their work include Hongming Zhang, Muhao Chen, Daniel Deutsch, Haoyu Wang, and Xingyu Fu.

Dan Roth has published in several recurring venues, such as:

  • arXiv (Cornell University)
  • Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing
  • Transactions of the Association for Computational Linguistics
  • Proceedings of the AAAI Conference on Artificial Intelligence
  • Findings of the Association for Computational Linguistics: NAACL 2022

The scientist has authored a book titled "Multilingual Entity Linking," published by Morgan & Claypool Publishers in 2024.

Awards received by Dan Roth include being named a Fellow of the American Association for the Advancement of Science (AAAS) in 2014 and an ACM Fellow in 2011 for contributions to machine learning and natural language processing.

Best Publications

  • Design Challenges and Misconceptions in Named Entity Recognition

    Lev Ratinov;Dan Roth

  • Learning question classifiers

    Xin Li;Dan Roth

  • Learning to detect objects in images via a sparse, part-based representation

    S. Agarwal;A. Awan;D. Roth

  • Recent Advances in Natural Language Processing via Large Pre-trained Language Models: A Survey

    Unknown

  • Emotions from Text: Machine Learning for Text-based Emotion Prediction

    Cecilia Ovesdotter Alm;Dan Roth;Richard Sproat

  • Local and Global Algorithms for Disambiguation to Wikipedia

    Lev Ratinov;Dan Roth;Doug Downey;Mike Anderson

  • On the hardness of approximate reasoning

    Dan Roth

  • Learning a Sparse Representation for Object Detection

    Shivani Agarwal;Dan Roth

  • A SNoW-Based Face Detector

    Ming-Hsuan Yang;Dan Roth;Narendra Ahuja

  • The importance of syntactic parsing and inference in semantic role labeling

    Vasin Punyakanok;Vasin Punyakanok;Vasin Punyakanok;Dan Roth;Dan Roth;Dan Roth;Wen-tau Yih;Wen-tau Yih;Wen-tau Yih

  • A Linear Programming Formulation for Global Inference in Natural Language Tasks

    Dan Roth;Wen-tau Yih

  • A Winnow-Based Approach to Context-Sensitive Spelling Correction

    Andrew R. Golding;Dan Roth

  • Looking Beyond the Surface: A Challenge Set for Reading Comprehension over Multiple Sentences

    Daniel Khashabi;Snigdha Chaturvedi;Michael Roth;Shyam Upadhyay

  • Lifted first-order probabilistic inference

    Rodrigo De Salvo Braz;Eyal Amir;Dan Roth

  • Learning question classifiers: the role of semantic information

    Xin Li;Dan Roth

  • Understanding the Value of Features for Coreference Resolution

    Eric Bengtson;Dan Roth

  • Knowing What to Believe (when you already know something)

    Jeff Pasternack;Dan Roth

  • Recognizing textual entailment: Rational, evaluation and approaches – Erratum

    Ido Dagan;Bill Dolan;Bernardo Magnini;Dan Roth

  • Constraint Classification for Multiclass Classification and Ranking

    Sariel Har-Peled;Dan Roth;Dav Zimak

  • Recognizing Textual Entailment: Models and Applications

    Ido Dagan;Dan Roth;Mark Sammons;Fabio Massimo Zanzotto

  • Solving General Arithmetic Word Problems

    Subhro Roy;Dan Roth

  • Did Aristotle Use a Laptop? A Question Answering Benchmark with Implicit Reasoning Strategies

    Mor Geva;Daniel Khashabi;Elad Segal;Tushar Khot

  • Synthesis Lectures on Human Language Technologies

    Ido Dagan;Dan Roth;Mark Sammons;Fabio Massimo Zanzotto

Frequent Co-Authors

Yangqiu Song
Yangqiu Song Hong Kong University of Science and Technology
Wen-tau Yih
Wen-tau Yih Facebook (United States)
Ming-Wei Chang
Ming-Wei Chang Google (United States)
Kai-Wei Chang
Kai-Wei Chang University of California, Los Angeles
Jiawei Han
Jiawei Han University of Illinois at Urbana-Champaign
Ashish Sabharwal
Ashish Sabharwal Allen Institute for Artificial Intelligence
Sariel Har-Peled
Sariel Har-Peled University of Illinois at Urbana-Champaign
Ido Dagan
Ido Dagan Bar-Ilan University
ChengXiang Zhai
ChengXiang Zhai University of Illinois at Urbana-Champaign
Cynthia Fisher
Cynthia Fisher University of Illinois at Urbana-Champaign

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 related online degrees can open new career pathways for students studying Computer Science in the USA. Fields like data science are experiencing significant growth, with many students seeking data science degrees to complement their core CS knowledge. Data science skills are highly valued in tech, finance, healthcare, and more.

Another popular route is electrical engineering, which often overlaps with computer science in areas like embedded systems and hardware development. For those interested, check out the online electrical engineering degree ranking to find top programs offered remotely across the USA.

Certification programs are also a fast track to enhancing your resume and increasing your earning potential. Many students opt for certifications that pay well, choosing short-term courses that boost their expertise in high-demand areas without the commitment of a full degree.

If you’re looking to advance your education efficiently, there are also options for the quickest cheapest masters degree programs, enabling you to complete your studies and enter the workforce sooner. These paths ensure flexibility while keeping education affordable and career-focused.

Best Scientists Citing Dan Roth

Trending Scientists

Recently Published Articles