380 search results - page 20 / 76 » Document Summarization Using Conditional Random Fields |
JMLR
2008
13 years 7 months ago
2008
Log-linear and maximum-margin models are two commonly-used methods in supervised machine learning, and are frequently used in structured prediction problems. Efficient learning of...
DAS
2010
Springer
13 years 9 months ago
2010
Springer
Separating machine printed text and handwriting from overlapping text is a challenging problem in the document analysis field and no reliable algorithms have been developed thus f...
ICDAR
2011
IEEE
12 years 7 months ago
2011
IEEE
— This paper describes a Markov random field (MRF) model with weighting parameters optimized by conditional random field (CRF) for on-line recognition of handwritten Japanese cha...
ICDAR
2005
IEEE
14 years 1 months ago
2005
IEEE
Many diagrams contain compound objects composed of parts. We propose a recognition framework that learns parts in an unsupervised way, and requires training labels only for compou...
HT
2003
ACM
14 years 28 days ago
2003
ACM
This paper addresses the issue of Web document summarization. As textual content of Web documents is often scarce or irrelevant and existing summarization techniques are based on ...