Paper Info
Title
Named entity generation using sampling-based structured prediction
Abstract
The problem of Named Entity Generation is expressed as a conditional probability model over a structured domain. By defining a factor-graph model over the mentions of a text, we obtain a compact parameterization of what is learned using the SampleRank algorithm.
Year
Venue
Keywords
2010
INLG
entity generation,samplerank algorithm,factor-graph model,compact parameterization,conditional probability model,sampling-based structured prediction,structured domain
Field
DocType
Citations 
Data mining,Conditional probability,Computer science,Structured prediction,Named entity,Natural language processing,Sampling (statistics),Artificial intelligence
Conference
0
PageRank 
References 
Authors
0.34
0
1
Name
Order
Citations
PageRank
Guillaume Bouchard143339.20