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Enrique Noriega Atala
Computing Sciences Researcher IV
Computer Science
Map Page
Research Area
natural language processing,
machine learning,
information extraction,
reinforcement learning,
information retrieval,
data mining,
biological context,
neural networks,
focused reading,
document selection
Grants
(1)
SKEMA: Scientific Knowledge Extraction and Model Analysis
Active
·
2022
·
$290.1K / $1.5M
·
External
Co-Investigator (COI)
knowledge extraction,
data analysis,
scientific modeling,
machine learning,
natural language processing
Publications
(12)
Recent
Visualizing Interaction Networks and Evidence in Biomedical Corpora
2023
network visualization,
biomedical evidence,
interaction networks,
biomedical corpora,
visualization techniques
Neural-Guided Program Synthesis of Information Extraction Rules Using Self-Supervision
2022
neural networks,
program synthesis,
information extraction,
self-supervision
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
Low resource causal event detection from biomedical literature
2022
biomedical literature,
event detection,
causal,
low resource,
detection
Learning Open Domain Multi-hoSearch Using Reinforcement Learning
2022
reinforcement learning,
domain adaptation,
open domain,
multi-host search,
learning algorithms
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 architectures for biological inter-sentence relation extraction
2021
neural networks,
biological research,
sentence analysis,
information extraction,
interdisciplinary studies
Extracting inter-sentence relations for associating biological context with events in biomedical texts
2019
biomedical texts,
inter-sentence relations,
biological context,
events,
text mining
Understanding the polarity of events in the biomedical literature: deelearning vs. linguistically-informed methods
2019
biomedical,
natural language processing,
sentiment analysis,
machine learning,
linguistics
Large-scale automated machine reading discovers new cancer-driving mechanisms
2018
cancer genomics,
machine learning,
biomedical research,
data mining,
automation
Collaborations
(6)
Clayton Morrison
Mutual work: 2 Techs
Collaboration Details
Mihai Surdeanu
Mutual work: 1 Grant﹒1 Supervisor﹒2 Techs﹒4 Proposals
Collaboration Details
Adarsh Pyarelal
Mutual work: 1 Grant﹒2 Proposals
Collaboration Details
Eduardo Blanco
Mutual work: 1 Proposal
Collaboration Details
Gus Hahn-Powell
Mutual work: 2 Proposals
Collaboration Details
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5+ Collaborators
$290.1K / $1.5M Funding
10+ Publications