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I am an Assistant Professor in the Department of Linguistics. I also hold appointments in the Cognitive Science GIDP and the Computational Social Science Graduate Certificate Program. My research centers around machine reading for scientific discovery. In other words, I build and design intelligent systems to help researchers surmount the problem of information overload by scouring the vast body of scientific literature, analyzing findings, and synthesizing discoveries to generate novel hypotheses. Please see my website for details on my research and teaching.
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Courses
- HLTEIHuman Language TEchnology I
- ASNLPAdvanced Statistical Natural Language Processing
- TSMWThe Structure and Meaning of Words
- HLTIHuman Language Technology I
- SNLPStatistical Natural Language Processing
Grants
- III: Small: Accessible and Interpretable Machine Reading Methods for Extracting Structured Information from Text
Co-Investigator (COI)
2020
$499.9K
Active - LogX / Supply Chain Quantification Using Imperfect Data (SQUID)
Principal Investigator (PI)
2020
$151.8K
News
- I-Squared Awards Honor Researchers and Technology Champions
2019
- Fiscal Year Closes With Continued Momentum for Tech Launch Arizona
2017
- Startup Licenses UA-Invented Language Processing Algorithm
2017
Publications (37)
Recent
- Text to Causal Knowledge Graph: A Framework to Synthesize Knowledge from Unstructured Business Texts into Causal Graphs
2023
- Neural-Guided Program Synthesis of Information Extraction Rules Using Self-Supervision
2022
- Syntax-driven Data Augmentation for Named Entity Recognition
2022
- Proceedings of the First Workshop on Pattern-based Approaches to NLP in the Age of Deep Learning
2022
- From Knowledge Discovery to Knowledge Creation: How can Literature-based Discovery Accelerate Progress in Science?
2022
- A Human-machine Interface for Few-shot Rule Synthesis for Information Extraction
2022
- From Examples to Rules: Neural Guided Rule Synthesis for Information Extraction
2022
- Computer-assisted construct classification of organizational performance concerning different stakeholder groups
2021
- Country-level Arabic dialect identification using RNNs with and without linguistic features
2021
- Exploring interpretability in event extraction: Multitask learning of a neural event classifier and an explanation decoder
2020
- Generating scientific hypotheses through machine reading
2020
- Odinson: A fast rule-based information extraction framework
2020
- Community-guided Hypothesis Generation
2020
- Enabling Search and Collaborative Assembly of Causal Interactions Extracted from Multilingual and Multi-domain Free Text
2019
- Epistemic stance and the construction of knowledge in science writing: A diachronic corpus study
2019
- Scientific Discovery as Link Prediction in Influence and Citation Graphs
2018
- Large-scale Automated Machine Reading Discovers New Cancer Driving Mechanisms
2018
- Machine Reading for Scientific Discovery
2018
- Methods for extracting and assessing information from literature documents
2018
- Reach
2018
- Science Citation Knowledge Extractor
2018
- Text annotation graphs: Annotating complex natural language phenomena
2017
- Swanson linking revisited: Accelerating literature-based discovery across domains using a conceptual influence graph
2017
- Large-scale automated reading with Reach discovers new cancer driving mechanisms
2017
- SnapToGrid: From Statistical to Interpretable Models for Biomedical Information Extraction
2016
- This before that: Causal precedence in the biomedical domain
2016
- Odin's Runes: A Rule Language for Information Extraction
2016
- An investigation of coreference phenomena in the biomedical domain
2016
- Sieve-based coreference resolution in the biomedical domain
2016
- Description of the Odin Event Extraction Framework and Rule Language
2015
- Higher-order Lexical Semantic Models for Non-factoid Answer Reranking
2015
- A domain-independent rule-based framework for event extraction
2015
- Testing AutoTrace
2014
- AutoTrace: An automatic system for tracing tongue contours
2014
- UltraPraat Software \ database for simultaneous acoustic and articulatory analysis
2013
- Testing AutoTrace: A machine-learning approach to automated tongue contour data extraction
2013
- The `Worthy of Attention' Collostruction: Frequency, synonymy, and learnability
2010