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Aron Culotta
Researcher at Illinois Institute of Technology
Publications - 88
Citations - 5423
Aron Culotta is an academic researcher from Illinois Institute of Technology. The author has contributed to research in topics: Social media & Computer science. The author has an hindex of 29, co-authored 83 publications receiving 4884 citations. Previous affiliations of Aron Culotta include University of Massachusetts Amherst & Southeastern Louisiana University.
Papers
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Proceedings ArticleDOI
Dependency Tree Kernels for Relation Extraction
Aron Culotta,Jeffrey Sorensen +1 more
TL;DR: This work extends previous work on tree kernels to estimate the similarity between the dependency trees of sentences, and uses this kernel within a Support Vector Machine to detect and classify relations between entities in the Automatic Content Extraction (ACE) corpus of news articles.
Proceedings ArticleDOI
Towards detecting influenza epidemics by analyzing Twitter messages
TL;DR: This paper analyzes messages posted on the micro-blogging site Twitter.com to propose several methods to identify influenza-related messages and compare a number of regression models to correlate these messages with CDC statistics.
ReportDOI
Reducing labeling effort for structured prediction tasks
Aron Culotta,Andrew McCallum +1 more
TL;DR: A new active learning paradigm is proposed which reduces not only how many instances the annotator must label, but also how difficult each instance is to annotate, which can vary widely in structured prediction tasks.
Proceedings Article
Extracting Social Networks and Contact Information From Email and the Web
TL;DR: An end-to-end system that extracts a user's social network and its members' contact information given the user's email inbox and discusses the capabilities of the system for address book population, expert-finding, and social network analysis.
Tweedr: Mining twitter to inform disaster response.
TL;DR: Tweedr, a Twitter-mining tool that extracts actionable information for disaster relief workers during natural disasters, is introduced and empirically validate the approach with tweets collected from 12 different crises in the United States since 2006.