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Profile
Gus Hahn-Powell
Assistant Professor, Linguistics | Member of the Graduate Faculty
Linguistics
Full Page
Overview
Research
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Collaboration
(1)
Mihai Surdeanu
Mutual work: 2 Proposalsīš1 Grant
Collaboration Details
Grants
(3)
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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
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
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
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
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
From Examples to Rules: Neural Guided Rule Synthesis for Information Extraction
2022
neural networks,
information extraction,
rule synthesis,
machine learning,
natural language processing
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
Syntax-driven data augmentation for named entity recognition
2022
