Personal Information
Organização/Local de trabalho
Arlington, TX United States
Setor
Education
Site
idir.uta.edu/
Sobre
The IDIR Lab of UT-Arlington conducts research in several areas related to big data intelligence and data science, including data management, data mining, natural language processing, applied machine learning, and their applications in computational journalism. Its current research focuses on building large-scale human-assisting and human-assisted data and information systems with high usability, high efficiency and applications for social good. The open house will use posters and demos to showcase a variety of research projects on data-driven fact-checking, exceptional fact finding, computational journalism, usability challenges in querying and exploring graph data, and knowledge databases.
Marcadores
computational journalism
fact-checking
misinformation
fact finding
knowledge graphs
skyline queries
knowledge graph
wikipedia
team recommendation
graph database usability
factual claim detection
claimbuster
graph preview
graph summary
entity graphs
exceptional facts
find finding
natural language processing
database usability
test case generation
dynamic symbolic execution
data exploration
faceted search
structured entity query
entity ranking
entity search
time-series database
sequence database
prominent streaks
anti-monotonic properties
group recommendation
situational facts
query by example
query suggestion
query formulation
entity graph
pairwise comparison
pareto-optimal objects
crowdsourcing
supervised learning
neural network
factual statement identification
knowledge graph completion
embedding models
recommendation
user preferences
partially ordered attributes
pareto frontier
pareto optimality
framenet
factual claim
analytics
social media
twitter
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