Publications

Selected Scholarly Work

Papers, public preprints, and dissertation work that connect the project portfolio to the research record.

Academic CV About

Index

34 selected public scholarly items.

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Book chapter

Corpus Syntax and AI

Gus Hahn-Powell

The Routledge Handbook of Syntax

2026

Book chapter

From Symbolic to Neuro-Symbolic Information Extraction

Surdeanu, Mihai, Valenzuela-Escárcega, Marco A., Hahn-Powell, Gus, Vacareanu, Robert, Herongrove, Gwendolen, Noriega-Atala, Enrique, Özgün Babur, Demir, Emek Morrison, Clayton

Neuro-symbolic AI: Foundations and Applications

Invited chapter neuro-symbolic AI information extraction machine reading

2025

Journal article

Computer-assisted pronunciation training for foreign language learning of grammatical features

Issa, Elsayed, Hahn-Powell, Gus

Language Learning & Technology

Peer-reviewed pronunciation training language learning Arabic

2024

Conference paper

Active Learning Design Choices for NER with Transformers

Vacareanu, Robert, Noriega-Atala, Enrique, Hahn-Powell, Gus, Valenzuela-Escárcega, Marco A., Surdeanu, Mihai

Proceedings of the 2024 Joint International Conference on Computational Linguistics, Language Resources and Evaluation

Peer-reviewed information extraction machine learning active learning +2

2024

Patent

METHOD AND SYSTEM FOR CONVERTING LITERATURE INTO A DIRECTED GRAPH

Mihai Surdeanu, Marco Valenzuela-Escárcega, Gus Hahn-Powell, Dane Bell, Thomas Hicks, Enrique Noriega, Clayton Morrison, Rebecca Sharp, Robert Inout Vacareanu, George Barbosa

US 12,019,981 B2

Patent literature-based discovery knowledge graphs machine reading

2024

Invited talk

Uncovering linguistic features of intergroup bias in open-ended descriptions of synthesized human images

Gus Hahn-Powell

University of Arizona's Cognitive Science Colloquium series

Invited talk linguistic intergroup bias NLP computational social science

2023

Book chapter

From Knowledge Discovery to Knowledge Creation: How can Literature-based Discovery Accelerate Progress in Science?

Neil R. Smalheiser, Gus Hahn-Powell, Dimitar Hristovski, Yakub Sebastian

Artificial Intelligence in Science : Challenges, Opportunities and the Future of Science

Invited chapter machine reading literature-based discovery scientific discovery +1

2023

Journal article

Text to Causal Knowledge Graph: A Framework to Synthesize Knowledge from Unstructured Business Texts into Causal Graphs

Gopalakrishnan, Seethalakshmi, Chen, Victor Zitian, Dou, Wenwen, Hahn-Powell, Gus, Nedunuri, Sreekar, Zadrozny, Wlodek

Information

Peer-reviewed knowledge graphs causal knowledge graphs business text +1

2022

Conference paper

A Human-machine Interface for Few-shot Rule Synthesis for Information Extraction

Vacareanu, Robert, Barbosa, George C.G., Noriega-Atala, Enrique, Hahn-Powell, Gus, Sharp, Rebecca, Valenzuela-Escárcega, Marco A., Surdeanu, Mihai

Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies: System Demonstrations

Peer-reviewed program synthesis information extraction neuro-symbolic AI +2

2022

Conference paper

From Examples to Rules: Neural Guided Rule Synthesis for Information Extraction

Vacareanu, Robert, Valenzuela-Esc\'arcega, Marco A., Barbosa, George, Sharp, Rebecca, Hahn-Powell, Gus, Surdeanu, Mihai

Proceedings of the 13th Language Resources and Evaluation Conference (LREC)

Peer-reviewed information extraction program synthesis neuro-symbolic AI

2022

Conference paper

Neural-Guided Program Synthesis of Information Extraction Rules Using Self-Supervision

Noriega-Atala, Enrique, Vacareanu, Robert, Hahn-Powell, Gus, Valenzuela-Escárcega, Marco A.

Proceedings of the First Workshop on Pattern-based Approaches to NLP in the Age of Deep Learning

Peer-reviewed information extraction program synthesis machine learning +1

2022

Conference paper

Syntax-driven Data Augmentation for Named Entity Recognition

Sutiono, Arie, Hahn-Powell, Gus

Proceedings of the First Workshop on Pattern-based Approaches to NLP in the Age of Deep Learning

Peer-reviewed information extraction corpus linguistics data augmentation +2

2021

Conference paper

Country-level Arabic dialect identification using RNNs with and without linguistic features

Issa, Elsayed, AlShakhori, Mohammed, Al-Bahrani, Reda, Hahn-Powell, Gus

Proceedings of the Sixth Arabic Natural Language Processing Workshop

Peer-reviewed Arabic NLP dialect identification machine learning

2021

Invited talk

Human Language Technology Webinar

Gus Hahn-Powell

National Autonomous University of Mexico (UNAM)

Invited talk human language technology NLP teaching

2020

Invited talk

Community-guided Hypothesis Generation

Gus Hahn-Powell

First International Workshop on Literature-Based Discovery (LBD 2020)

Invited talk information extraction literature-based discovery hypothesis generation +1

2020

Conference paper

Exploring Interpretability in Event Extraction: Multitask Learning of a Neural Event Classifier and an Explanation Decoder

Tang, Zheng, Hahn-Powell, Gus, Surdeanu, Mihai

Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics: Student Research Workshop

Peer-reviewed information extraction program synthesis biomedical NLP +3

2020

Invited talk

Generating scientific hypotheses through machine reading

Gus Hahn-Powell

University of Arizona's Cognitive Science Colloquium series

Invited talk information extraction machine reading scientific discovery +1

2020

Conference paper

Odinson: A Fast Rule-based Information Extraction Framework

Valenzuela-Escárcega, Marco A., Hahn-Powell, Gus, Bell, Dane

Proceedings of The 12th Language Resources and Evaluation Conference

Peer-reviewed information extraction research software machine reading +2

2019

Invited talk

Bridging Non-interacting Research Communities Through Machine-guided Discovery Synthesis

Gus Hahn-Powell, Dane Bell

INFORMS

Invited talk literature-based discovery machine reading knowledge synthesis

2019

Conference paper

Enabling Search and Collaborative Assembly of Causal Interactions Extracted from Multilingual and Multi-domain Free Text

Barbosa, George C. G., Wong, Zechy, Hahn-Powell, Gus, Bell, Dane, Sharp, Rebecca, Valenzuela-Escárcega, Marco A., Surdeanu, Mihai

Proceedings of the 2019 Conference of the North American Chapter of the Association for Computational Linguistics (Demonstrations)

Peer-reviewed machine reading knowledge graphs multilingual NLP +1

2019

Journal article

Epistemic stance and the construction of knowledge in science writing: A diachronic corpus study

Robert Poole, Andrew Gnann, Gus Hahn-Powell

Journal of English for Academic Purposes

Peer-reviewed corpus linguistics science writing discourse analysis

2018

Journal article

Large-scale Automated Machine Reading Discovers New Cancer Driving Mechanisms

Valenzuela-Esc\'arcega, Marco A., Özgün Babur, Gus Hahn-Powell, Dane Bell, Thomas Hicks, Enrique Noriega-Atala, Xia Wang, Mihai Surdeanu, Emek Demir, Clayton T. Morrison

Database: The Journal of Biological Databases and Curation

Peer-reviewed biomedical NLP machine reading information extraction +1

2018

Dissertation

Machine Reading for Scientific Discovery

Gus Hahn-Powell

University of Arizona

machine reading scientific discovery information extraction

2018

Journal article

Science Citation Knowledge Extractor

Heather Lent, Gus Hahn-Powell, Asher Haug-Baltzell, Sean Davey, Mihai Surdeanu, Eric Lyons

Frontiers in Research Metrics and Analytics

Peer-reviewed

2018

Conference paper

Scientific Discovery as Link Prediction in Influence and Citation Graphs

Luo, Fan, Valenzuela-Escárcega, Marco A., Hahn-Powell, Gus, Surdeanu, Mihai

Proceedings of the Twelfth Workshop on Graph-Based Methods for Natural Language Processing (TextGraphs-12)

Peer-reviewed machine reading

2018

Conference paper

Text Annotation Graphs: Annotating Complex Natural Language Phenomena

Angus Graeme Forbes, Kristine Lee, Gus Hahn-Powell, Marco Antonio Valenzuela-Esc\'arcega, Mihai Surdeanu

Proceedings of the Eleventh International Conference on Language Resources and Evaluation (LREC-2018)

Peer-reviewed

2017

Conference paper

Large-scale automated reading with Reach discovers new cancer driving mechanisms

Valenzuela-Escárcega, Marco A, Babur, Ozgün, Hahn-Powell, Gus, Bell, Dane, Hicks, Thomas, Noriega-Atala, Enrique, Wang, Xia, Surdeanu, Mihai, Demir, Emek, Morrison, Clayton T

Proceedings of the Sixth BioCreative Challenge Evaluation Workshop

Peer-reviewed biomedical NLP

2017

Conference paper

Swanson linking revisited: Accelerating literature-based discovery across domains using a conceptual influence graph

Gus Hahn-Powell, Valenzuela-Esc\'arcega, Marco A., Mihai Surdeanu

Proceedings of the 55th Annual Meeting of the Association for Computational Linguistics: Software Demonstrations

Peer-reviewed literature-based discovery knowledge graphs machine reading +1

2016

Conference paper

An investigation of coreference phenomena in the biomedical domain

Dane Bell, Gus Hahn-Powell, Marco A. Valenzuela-Esc\'arcega, Mihai Surdeanu

Proceedings of the 10th International Conference on Language Resources and Evaluation

Peer-reviewed biomedical NLP

2016

Conference paper

Odin's Runes: A Rule Language for Information Extraction

Valenzuela-Esc\'arcega, Marco A., Gus Hahn-Powell, Mihai Surdeanu

Proceedings of the 10th International Conference on Language Resources and Evaluation

Peer-reviewed information extraction program synthesis

2016

Conference paper

SnapToGrid: From Statistical to Interpretable Models for Biomedical Information Extraction

Valenzuela-Escárcega, Marco A., Hahn-Powell, Gus, Bell, Dane, Surdeanu, Mihai

Proceedings of the 15th Workshop on Biomedical Natural Language Processing

Peer-reviewed information extraction biomedical NLP

2016

Conference paper

This before That: Causal Precedence in the Biomedical Domain

Gus Hahn-Powell, Dane Bell, Marco A. Valenzuela-Esc\'arcega, Mihai Surdeanu

Proceedings of the 2016 Workshop on Biomedical Natural Language Processing

Peer-reviewed biomedical NLP

2015

Conference paper

A Domain-independent Rule-based Framework for Event Extraction

Valenzuela-Esc\'arcega, Marco A., Gus Hahn-Powell, Thomas Hicks, Mihai Surdeanu

Proceedings of the 53rd Annual Meeting of the Association for Computational Linguistics and the 7th International Joint Conference on Natural Language Processing of the Asian Federation of Natural Language Processing: Software Demonstrations

Peer-reviewed information extraction program synthesis

2015

Journal article

Higher-order Lexical Semantic Models for Non-factoid Answer Reranking

Daniel Fried, Peter Jansen, Gus Hahn-Powell, Mihai Surdeanu, Peter Clark

Transactions of the Association for Computational Linguistics

Peer-reviewed