2026 Ellen Riloff: 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	59	3388	3292	1643	1584	132	16196

Ellen Riloff 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 Ellen Riloff sits on this spectrum.

32 publications 991+

This scientist: 132 publications — 19th percentile

19% of scientists in this discipline score the same or lower.

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

Ellen Riloff 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 Ellen Riloff sits on this spectrum.

30 D-Index 131+

This scientist: 59 D-Index — 77th percentile

77% of scientists in this discipline score the same or lower.

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

Overview

Ellen Riloff is affiliated with the University of Utah in the United States. Their research contributions span multiple areas within artificial intelligence and molecular biology, with a primary focus on natural language processing techniques and topic modeling. They have published work relevant to biomedical text mining and ontologies.

Their recent papers include the following:

Modeling Textual Cohesion for Event Extraction, 2021, Proceedings of the AAAI Conference on Artificial Intelligence
Classifying Organizations for Food System Ontologies using Natural Language Processing, 2023, arXiv (Cornell University)
Memorization in In-Context Learning, 2024, arXiv (Cornell University)
Say Less, Mean More: Leveraging Pragmatics in Retrieval-Augmented Generation, 2025, arXiv (Cornell University)

Frequent coauthors in their collaborations include:

Mihai Surdeanu
Ruihong Huang
Tianyu Jiang
Sonia Vinogradova
Nathan Stringham

Notable publication venues where Ellen Riloff has contributed are:

arXiv (Cornell University)
Proceedings of the AAAI Conference on Artificial Intelligence

The main subfields in which Ellen Riloff is active are:

Artificial Intelligence
Molecular Biology

Their research topics cover:

Topic Modeling
Natural Language Processing Techniques
Biomedical Text Mining and Ontologies

Best Publications

Learning extraction patterns for subjective expressions

Ellen Riloff;Janyce Wiebe

1399
Citations
Learning dictionaries for information extraction by multi-level bootstrapping

Ellen Riloff;Rosie Jones

1173
Citations
Automatically generating extraction patterns from untagged text

Ellen Riloff

942
Citations
Creating subjective and objective sentence classifiers from unannotated texts

Janyce Wiebe;Ellen Riloff

810
Citations
Automatically constructing a dictionary for information extraction tasks

Ellen Riloff

765
Citations
Learning subjective nouns using extraction pattern bootstrapping

Ellen Riloff;Janyce Wiebe;Theresa Wilson

736
Citations
OpinionFinder: A System for Subjectivity Analysis

Theresa Wilson;Paul Hoffmann;Swapna Somasundaran;Jason Kessler

719
Citations
Sarcasm as Contrast between a Positive Sentiment and Negative Situation

Ellen Riloff;Ashequl Qadir;Prafulla Surve;Lalindra De Silva

649
Citations
Identifying Sources of Opinions with Conditional Random Fields and Extraction Patterns

Yejin Choi;Claire Cardie;Ellen Riloff;Siddharth Patwardhan

499
Citations
A Bootstrapping Method for Learning Semantic Lexicons using Extraction Pattern Contexts

Michael Thelen;Ellen Riloff

492
Citations
Proceedings of the 2012 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies

Eric Fosler-Lussier;Ellen Riloff;Srinivas Bangalore

465
Citations
Information extraction as a basis for high-precision text classification

Ellen Riloff;Wendy Lehnert

361
Citations
Feature Subsumption for Opinion Analysis

Ellen Riloff;Siddharth Patwardhan;Janyce Wiebe

337
Citations
Semantic Class Learning from the Web with Hyponym Pattern Linkage Graphs

Zornitsa Kozareva;Ellen Riloff;Eduard Hovy

271
Citations
Exploiting subjectivity classification to improve information extraction

Ellen Riloff;Janyce Wiebe;William Phillips

248
Citations
Little words can make a big difference for text classification

Ellen Riloff

245
Citations
An empirical study of automated dictionary construction for information extraction in three domains

Ellen Riloff

225
Citations
A Corpus-Based Approach for Building Semantic Lexicons.

Ellen Riloff;Jessica Shepherd

218
Citations
Issues, Tasks and Program Structures to Roadmap Research in Question & Answering (Q&A)

John Burger;Claire Cardie;Vinay Chaudhri;Robert Gaizauskas

209
Citations
A rule-based question answering system for reading comprehension tests

Ellen Riloff;Michael Thelen

208
Citations
Identifying Sources of Opinions with Conditional Random Fields and

Yejin Choi;Claire Cardie;Ellen Riloff;Siddharth Patwardhan

0
Citations

Frequent Co-Authors

Claire Cardie Cornell University

Janyce Wiebe University of Pittsburgh

Marilyn A. Walker University of California, Santa Cruz

Eduard Hovy Carnegie Mellon University

Veselin Stoyanov Facebook (United States)

Yejin Choi Stanford University

Kiri L. Wagstaff Oregon State University

Hal Daumé University of Maryland, College Park

Nina Lanza Los Alamos National Laboratory

Judith A. Blake Edith Cowan University

External Links

Personal website of Ellen Riloff Google Scholar page

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