❝
I am a broadly interdisciplinary artificial intelligence researcher specializing in natural language processing and methods inspired by cognition and the brain. I apply these to application areas in science and health care.VOSviewer
Courses
- SNLPStatistical Natural Language Processing
- LCLanguage and Computers
- ICCIntroduction to Creative Coding
- ANLPApplied Natural Language Processing
- INLPIntroduction to Natural Language Processing
- IHCIIntroduction to Human Computer Interaction
Grants
- III: Small: Collaborative Research: Explainable Natural Language Inference
Principal Investigator (PI)
2018
$262.5K
Active - Space Domain Awareness Collaborative Research Infrastructure
Co-Investigator (COI)
2018
$3.3M
News
- UArizona Makers Race to Provide Personal Protective Equipment
2020
- Students in Engineering, iSchool Discover Sweet Success
2017
- Attention, Trekkies: Get Your Tricorders Here
2014
Publications (49)
Recent
- ScienceWorld: Is your Agent Smarter than a 5th Grader?
2022
- Extracting Space Situational Awareness Events from News Text
2022
- Behavior Cloned Transformers are Neurosymbolic Reasoners
2022
- TextWorldExpress: Simulating Text Games at One Million Steps Per Second
2022
- A Systematic Survey of Text Worlds as Embodied Natural Language Environments
2021
- Proceedings of the Fifteenth Workshop on Graph-Based Methods for Natural Language Processing (TextGraphs-15)
2021
- Picard understanding Darmok: A Dataset and Model for Metaphor-Rich Translation in a Constructed Language
2021
- Darmok and Jalad at Tanagra: A Dataset and Model for English-to-Tamarian Translation
2021
- On the Challenges of Evaluating Compositional Explanations in Multi-Hop Inference: Relevance, Completeness, and Expert Ratings
2021
- Explaining Answers with Entailment Trees
2021
- Proceedings of the Graph-based Methods for Natural Language Processing (TextGraphs)
2020
- QASC: A Dataset for Question Answering via Sentence Composition
2020
- Visually-Grounded Planning without Vision: Language Models Infer Detailed Plans from High-level Instructions
2020
- CoSaTa: A Constraint Satisfaction Solver and Interpreted Language for Semi-Structured Tables of Sentences
2020
- WorldTree V2: A Corpus of Science-Domain Structured Explanations and Inference Patterns supporting Multi-Hop Inference
2020
- ScienceExamCER: A High-Density Fine-Grained Science-Domain Corpus for Common Entity Recognition
2019
- Extracting Common Inference Patterns from Semi-Structured Explanations
2019
- Multi-class Hierarchical Question Classification for Multiple Choice Science Exams
2019
- Proceedings of the Thirteenth Workshop on Graph-Based Methods for Natural Language Processing (TextGraphs-13)
2019
- Controlling Information Aggregation for Complex Question Answering
2018
- WorldTree: A Corpus of Explanation Graphs for Elementary Science Questions supporting Multi-hop Inference
2018
- Multi-hop Inference for Sentence-level TextGraphs: How Challenging is Meaningfully Combining Information for Science Question Answering?
2018
- Clinical Event Management and Communication System
2018
- Framing Question Answering as Building and Ranking Answer Justifications
2017
- Tell Me Why: Using Question Answering as Distant Supervision for Answer Justification
2017
- A Study of Automatically Acquiring Explanatory Inference Patterns from Corpora of Explanations: Lessons from Elementary Science Exams
2017
- Framing qa as building and ranking intersentence answer justifications
2017
- Creating Causal Embeddings for Question Answering with Minimal Supervision
2016
- What's in an Explanation? Characterizing Knowledge and Inference Requirements for Elementary Science Exams
2016
- Spinning Straw into Gold: Using Free Text to Train Monolingual Alignment Models for Non-factoid Question Answering
2015
- Higher-order Lexical Semantic Models for Non-factoid Answer Reranking
2015
- Discourse complements lexical semantics for non-factoid answer reranking
2014
- Transmitting narrative: An interactive shift-summarization tool for improving nurse communication
2013
- Challenges in gigapixel multiscale image formation
2012
- AFSSI-C
2012
- Development of a scalable image formation pipeline for multiscale gigapixel photography
2012
- Strong systematicity through sensorimotor conceptual grounding: an unsupervised, developmental approach to connectionist sentence processing
2012
- Adaptive feature-specific spectral imaging
2012
- Afssi-c: the adaptive feature-specific spectral imaging classifier
2012
- Adaptive, feature-specific spectral imaging classifier
2011
- Information–optimal adaptive feature-specific spectroscopy for rapid chemical classification
2011
- Information-Optimal Adaptive Spectral Classification Imaging
2011
- Chimaera neural networks for self-organizing grammar acquisition
2010
- A computational vector-map model of neonate saccades: Modulating the externality effect through refraction periods
2010
- SayWhen: An automated method for high-accuracy speech onset detection
2008
- Chimaera networks: Temporal self-organizing artificial neural networks for sequence learning
2008