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UIST
2006
ACM
14 years 1 months ago
RecipeSheet: creating, combining and controlling information processors
Many tasks require users to extract information from diverse sources, to edit or process this information locally, and to explore how the end results are affected by changes in th...
Aran Lunzer, Kasper Hornbæk
KDD
2006
ACM
175views Data Mining» more  KDD 2006»
14 years 8 months ago
A mixture model for contextual text mining
Contextual text mining is concerned with extracting topical themes from a text collection with context information (e.g., time and location) and comparing/analyzing the variations...
Qiaozhu Mei, ChengXiang Zhai
PKDD
2004
Springer
205views Data Mining» more  PKDD 2004»
14 years 27 days ago
Breaking Through the Syntax Barrier: Searching with Entities and Relations
The next wave in search technology will be driven by the identification, extraction, and exploitation of real-world entities represented in unstructured textual sources. Search sy...
Soumen Chakrabarti
BMCBI
2004
110views more  BMCBI 2004»
13 years 7 months ago
Tools for loading MEDLINE into a local relational database
Background: Researchers who use MEDLINE for text mining, information extraction, or natural language processing may benefit from having a copy of MEDLINE that they can manage loca...
Diane E. Oliver, Gaurav Bhalotia, Ariel S. Schwart...
CIDR
2011
228views Algorithms» more  CIDR 2011»
12 years 11 months ago
Crowdsourced Databases: Query Processing with People
Amazon’s Mechanical Turk (“MTurk”) service allows users to post short tasks (“HITs”) that other users can receive a small amount of money for completing. Common tasks on...
Adam Marcus 0002, Eugene Wu 0002, Samuel Madden, R...