2026 Benjamin Van Durme: 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	60	3279	3185	1587	1529	283	12697

Overview

Benjamin Van Durme is affiliated with Johns Hopkins University in the United States. Their research primarily falls within the field of Computer Science, with a particular focus on Artificial Intelligence. The work spans multiple subfields including Artificial Intelligence, Computer Vision and Pattern Recognition, Information Systems, Political Science and International Relations, and Law.

Their research topics cover a range of areas in computational and applied linguistics, including:

Natural Language Processing Techniques
Topic Modeling
Multimodal Machine Learning Applications
Artificial Intelligence in Law
Text Readability and Simplification
Domain Adaptation and Few-Shot Learning
Software Engineering Research

Benjamin Van Durme has contributed to numerous publications, with prolific output in various prestigious venues. Frequent publication venues include:

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 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies
Proceedings of the AAAI Conference on Artificial Intelligence

Selected recent papers authored or co-authored by Benjamin Van Durme are:

Constrained Language Models Yield Few-Shot Semantic Parsers, 2021, Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing
BERT, mBERT, or BiBERT? A Study on Contextualized Embeddings for Neural Machine Translation, 2021, Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing
Few-Shot Semantic Parsing with Language Models Trained on Code, 2022, Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies
A Dataset for Statutory Reasoning in Tax Law Entailment and Question Answering, 2020, arXiv (Cornell University)
Pretrained Models for Multilingual Federated Learning, 2022, Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies

Frequent collaborators in their research include Orion Weller, Daniel Khashabi, Dawn Lawrie, Patrick Xia, and Nathaniel Weir. These co-authors have contributed to multiple publications alongside Benjamin Van Durme, indicating ongoing academic partnerships.

Best Publications

PPDB: The Paraphrase Database

Juri Ganitkevitch;Benjamin Van Durme;Chris Callison-Burch

812
Citations
Information Extraction over Structured Data: Question Answering with Freebase

Xuchen Yao;Benjamin Van Durme

566
Citations
Hypothesis Only Baselines in Natural Language Inference

Adam Poliak;Jason Naradowsky;Aparajita Haldar;Rachel Rudinger

565
Citations
Gender Bias in Coreference Resolution

Rachel Rudinger;Jason Naradowsky;Brian Leonard;Benjamin Van Durme

549
Citations
What do you learn from context? Probing for sentence structure in contextualized word representations

Ian Tenney;Patrick Xia;Berlin Chen;Alex Wang

437
Citations
PPDB 2.0: Better paraphrase ranking, fine-grained entailment relations, word embeddings, and style classification

Ellie Pavlick;Pushpendre Rastogi;Juri Ganitkevitch;Benjamin Van Durme

344
Citations
Annotated Gigaword

Courtney Napoles;Matthew Gormley;Benjamin Van Durme

330
Citations
ReCoRD: Bridging the Gap between Human and Machine Commonsense Reading Comprehension.

Sheng Zhang;Xiaodong Liu;Jingjing Liu;Jianfeng Gao

305
Citations
Answer Extraction as Sequence Tagging with Tree Edit Distance

Xuchen Yao;Benjamin Van Durme;Chris Callison-Burch;Peter Clark

234
Citations
Open Domain Targeted Sentiment

Margaret Mitchell;Jacqui Aguilar;Theresa Wilson;Benjamin Van Durme

200
Citations
Efficient spoken term discovery using randomized algorithms

Aren Jansen;Benjamin Van Durme

192
Citations
Collecting Diverse Natural Language Inference Problems for Sentence Representation Evaluation

Adam Poliak;Aparajita Haldar;Rachel Rudinger;J. Edward Hu

191
Citations
What you seek is what you get: extraction of class attributes from query logs

Marius Pasca;Benjamin Van Durme

182
Citations
Reporting bias and knowledge acquisition

Jonathan Gordon;Benjamin Van Durme

181
Citations
Inferring User Political Preferences from Streaming Communications

Svitlana Volkova;Glen Coppersmith;Benjamin Van Durme

164
Citations
Universal Decompositional Semantics on Universal Dependencies.

Aaron Steven White;Dee Ann Reisinger;Keisuke Sakaguchi;Tim Vieira

146
Citations
Contrastive Preference Optimization: Pushing the Boundaries of LLM Performance in Machine Translation

Unknown

138
Citations
Constrained Language Models Yield Few-Shot Semantic Parsers

Richard Shin;Christopher H. Lin;Sam Thomson;Charles Chen

135
Citations
Weakly-Supervised Acquisition of Open-Domain Classes and Class Attributes from Web Documents and Query Logs

Marius Paşca;Benjamin Van Durme

134
Citations
Ordinal Common-sense Inference

Sheng Zhang;Rachel Rudinger;Kevin Duh;Benjamin Van Durme

134
Citations
Improved Lexically Constrained Decoding for Translation and Monolingual Rewriting

J. Edward Hu;Huda Khayrallah;Ryan Culkin;Patrick Xia

121
Citations
Multi-Sentence Argument Linking.

Seth Ebner;Patrick Xia;Ryan Culkin;Kyle Rawlins

119
Citations
Social Bias in Elicited Natural Language Inferences

Rachel Rudinger;Chandler May;Benjamin Van Durme

117
Citations

Frequent Co-Authors

Kevin Duh Johns Hopkins University

Chris Callison-Burch University of Pennsylvania

Mark Dredze Johns Hopkins University

Yonatan Belinkov Technion – Israel Institute of Technology

Samuel R. Bowman New York University

Ryan Cotterell ETH Zurich

Margaret Mitchell Hugging Face

Stuart M. Shieber Harvard University

Owen Rambow Stony Brook University

Jason Eisner Johns Hopkins University

External Links

Personal website of Benjamin Van Durme Google Scholar page

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