2026 Ralph Weischedel: Computer Science Researcher – H-Index, Publications & Awards

Discipline name	D-Index	World Ranking	Current World Ranking	National Ranking	Current National Ranking	Publications	Citations
Computer Science	49	5803	5637	2638	2544	161	12193

Ralph Weischedel publication distribution in Computer Science in 2026

The chart shows the distribution of publications by all Research.com ranked scientists in the field of Computer Science in 2026. The highlighted bar marks where Ralph Weischedel sits on this spectrum.

32 publications 991+

This scientist: 161 publications — 31st percentile

31% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 991 publications or more.

Ralph Weischedel D-index placement in Computer Science in 2026

The chart shows the D-index (discipline H-index) distribution of Computer Science scientists ranked by Research.com in 2026. The highlighted bar marks where Ralph Weischedel sits on this spectrum.

30 D-Index 131+

This scientist: 49 D-Index — 60th percentile

60% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 131 D-Index or more.

Overview

Ralph Weischedel is affiliated with the University of Southern California in the United States. Their research primarily spans the field of Computer Science, with a focus on Artificial Intelligence and related subfields.

Their scholarly output includes work published in venues such as:

arXiv (Cornell University)
Proceedings of the AAAI Conference on Artificial Intelligence
Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)
Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing

Key areas of study within their research comprise:

Artificial Intelligence
Computer Vision and Pattern Recognition
Management Science and Operations Research
General Decision Sciences
Management Information Systems

Their work addresses significant topics including:

Topic Modeling
Natural Language Processing Techniques
Multimodal Machine Learning Applications
Text Readability and Simplification
Artificial Intelligence in Games
Speech and Dialogue Systems
Intelligent Tutoring Systems and Adaptive Learning

Among their recent scholarly publications are:

Predictive Engagement: An Efficient Metric for Automatic Evaluation of Open-Domain Dialogue Systems, 2020, Proceedings of the AAAI Conference on Artificial Intelligence
Understanding Multimodal Procedural Knowledge by Sequencing Multimodal Instructional Manuals, 2022, Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)
Content Planning for Neural Story Generation with Aristotelian Rescoring, 2020, arXiv (Cornell University)
Perhaps PTLMs Should Go to School - A Task to Assess Open Book and Closed Book QA, 2021, Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing
Learning to Generalize for Sequential Decision Making, 2020, arXiv (Cornell University)

Frequently, they collaborate with other researchers in their field, with notable coauthors including Marjorie Freedman, Nanyun Peng, Manuel R. Ciosici, Te-Lin Wu, and Dong-Ho Lee, reflecting a pattern of ongoing collaborative research efforts.

Best Publications

The Automatic Content Extraction (ACE) Program Tasks, Data, and Evaluation

George R. Doddington;Alexis Mitchell;Mark A. Przybocki;Lance A. Ramshaw

1393
Citations
An Algorithm that Learns What‘s in a Name

Daniel M. Bikel;Richard Schwartz;Ralph M. Weischedel

1189
Citations
OntoNotes: The 90% Solution

Eduard Hovy;Mitchell Marcus;Martha Palmer;Lance Ramshaw

1024
Citations
Nymble: a High-Performance Learning Name-finder

Daniel M. Bikel;Scott Miller;Richard Schwartz;Ralph Weischedel

970
Citations
PERFORMANCE MEASURES FOR INFORMATION EXTRACTION

John Makhoul;Francis Kubala;Richard Schwartz;Ralph Weischedel

830
Citations
Coping with ambiguity and unknown words through probabilistic models

Ralph Weischedel;Richard Schwartz;Jeff Palmucci;Marie Meteer

449
Citations
CoNLL-2011 Shared Task: Modeling Unrestricted Coreference in OntoNotes

Sameer Pradhan;Lance Ramshaw;Mitchell Marcus;Martha Palmer

391
Citations
Plan-And-Write: Towards Better Automatic Storytelling

Lili Yao;Nanyun Peng;Ralph M. Weischedel;Kevin Knight

342
Citations
A New String-to-Dependency Machine Translation Algorithm with a Target Dependency Language Model

Libin Shen;Jinxi Xu;Ralph Weischedel

329
Citations
A novel use of statistical parsing to extract information from text

Scott Miller;Heidi Fox;Lance Ramshaw;Ralph Weischedel

294
Citations
Challenges in information retrieval and language modeling: report of a workshop held at the center for intelligent information retrieval, University of Massachusetts Amherst, September 2002

James Allan;Jay Aslam;Nicholas Belkin;Chris Buckley

291
Citations
ONTONOTES: A UNIFIED RELATIONAL SEMANTIC REPRESENTATION

Sameer S. Pradhan;Eduard H. Hovy;Mitchell P. Marcus;Martha Palmer

217
Citations
OntoNotes: A Unified Relational Semantic Representation

a.S. Pradhan;E. Hovy;M.S. Marcus;M. Palmer

215
Citations
Meta-rules as a basis for processing ill-formed input

Ralph M. Weischedel;Norman K. Sondheimer

202
Citations
Evaluating a probabilistic model for cross-lingual information retrieval

Jinxi Xu;Ralph Weischedel;Chanh Nguyen

195
Citations
Unrestricted Coreference: Identifying Entities and Events in OntoNotes

S.S. Pradhan;L. Ramshaw;R. Weischedel;J. MacBride

165
Citations
Optimal Network Problem: A Branch-and-Bound Algorithm

D E Boyce;A Farhi;R Weischedel

147
Citations
OntoNotes Release 5.0

Ralph Weischedel;Martha Palmer;Mitchell Marcus;Eduard Hovy

135
Citations
TREC 2003 QA at BBN: Answering Definitional Questions.

Jinxi Xu;Ana Licuanan;Ralph M. Weischedel

121
Citations
BBN: Description of the SIFT System as Used for MUC-7

Scott Miller;Michael Crystal;Heidi Fox;Lance Ramshaw

117
Citations
NAMED ENTITY EXTRACTION FROM SPEECH

Francis Kubala;Richard Schwartz;Rebecca Stone;Ralph Weischedel

117
Citations
Empirical studies in strategies for Arabic retrieval

Jinxi Xu;Alexander Fraser;Ralph Weischedel

110
Citations
Algorithms That Learn to Extract Information BBN: Description of the Sift System as Used for MUC-7

Scott Miller;Michael Crystal;Heidi Fox;Lance Ramshaw

104
Citations

Frequent Co-Authors

Richard Schwartz Brown University

Nanyun Peng University of California, Los Angeles

Martha Palmer University of Colorado Boulder

Aram Galstyan University of Southern California

Eduard Hovy Carnegie Mellon University

Sameer Pradhan Vassar College

David E. Boyce Northwestern University

Aravind K. Joshi University of Pennsylvania

Bonnie Webber University of Edinburgh

Nianwen Xue Brandeis University

External Links

Personal website of Ralph Weischedel Google Scholar page

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

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