KMap
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
  • HLTEI
    Human Language TEchnology I

  • ASNLP
    Advanced Statistical Natural Language Processing

  • TSMW
    The Structure and Meaning of Words

  • HLTI
    Human Language Technology I

  • SNLP
    Statistical Natural Language Processing

Grants
  • Funding agency logo
    III: Small: Accessible and Interpretable Machine Reading Methods for Extracting Structured Information from Text

    Co-Investigator (COI)

    2020

    $499.9K
    Active
  • Funding agency logo
    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

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

    2019

  • 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

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