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Profile
Gus Hahn-Powell
Assistant Professor, Linguistics | Member of the Graduate Faculty
Linguistics
Full Page
Overview
Research
More
Collaboration
(1)
Mihai Surdeanu
Mutual work: 2 Proposals﹒1 Grant
Collaboration Details
Grants
(3)
III: Small: Accessible and Interpretable Machine Reading Methods for Extracting Structured Information from Text
Active
·
2020
·
$137.5K / $499.9K
·
External
Co-Investigator (COI)
natural language processing,
machine learning,
information extraction,
text mining,
artificial intelligence
Collaborative Research: Perspective Taking and Reported Speech in an Evidentially-Rich Language
Active
·
2019
·
$97.9K
·
External
Principal Investigator (PI)
perspective taking,
reported speech,
collaborative research,
evidentially-rich language,
linguistics
LogX / Supply Chain Quantification Using Imperfect Data (SQUID)
2020
·
$151.8K
·
External
Principal Investigator (PI)
supply chain,
data analysis,
quantification,
logistics,
imperfect data
Publications
(38)
Recent
Active learning design choices for NER with transformers
2024
natural language processing,
machine learning,
information retrieval,
data annotation,
educational technology
Text to Causal Knowledge Graph: A Framework to Synthesize Knowledge from Unstructured Business Texts into Causal Graphs
2023
knowledge synthesis,
text analytics,
causal inference,
unstructured data,
business intelligence
Artificial Intelligence in Science: From knowledge discovery to knowledge creation: How can literature-based discovery accelerate progress in science?
2023
artificial intelligence,
knowledge discovery,
knowledge creation,
literature-based discovery
From Knowledge Discovery to Knowledge Creation: How can Literature-based Discovery Accelerate Progress in Science?
2023
knowledge discovery,
literature-based discovery,
knowledge creation,
science progress,
accelerating research
Proceedings of the 2nd Workshoon Pattern-based Approaches to NLP in the Age of DeeLearning
2023
natural language processing,
deep learning,
pattern-based approaches,
workshop proceedings,
nlp
Proceedings of the First Workshoon Pattern-based Approaches to NLP in the Age of DeeLearning
2022
natural language processing,
deep learning,
pattern-based approaches,
workshop,
proceedings
From Examples to Rules: Neural Guided Rule Synthesis for Information Extraction
2022
neural networks,
information extraction,
rule synthesis,
machine learning,
natural language processing
A Human-machine Interface for Few-shot Rule Synthesis for Information Extraction
2022
human-machine interface,
few-shot learning,
rule synthesis,
information extraction,
machine learning
Neural-Guided Program Synthesis of Information Extraction Rules Using Self-Supervision
2022
neural networks,
program synthesis,
information extraction,
self-supervision
Syntax-driven data augmentation for named entity recognition
2022
