2209 search results - page 81 / 442 » Relation Extraction Using Support Vector Machine |
109
Voted
AI
2009
Springer
15 years 9 months ago
2009
Springer
In this paper, we present a Support Vector Machine (SVM) based ensemble approach to combat the extractive multi-document summarization problem. Although SVM can have a good general...
124
click to vote
EMNLP
2009
15 years 7 days ago
2009
We present a framework to extract the most important features (tree fragments) from a Tree Kernel (TK) space according to their importance in the target kernelbased machine, e.g. ...
119
click to vote
MLDM
2007
Springer
15 years 8 months ago
2007
Springer
Support vector machine (SVM) has received much attention in feature selection recently because of its ability to incorporate kernels to discover nonlinear dependencies between feat...
125
click to vote
EMNLP
2010
15 years 14 days ago
2010
Several recent discourse parsers have employed fully-supervised machine learning approaches. These methods require human annotators to beforehand create an extensive training corp...
137
click to vote
NIPS
2003
15 years 3 months ago
2003
This paper presents a method for learning a distance metric from relative comparison such as “A is closer to B than A is to C”. Taking a Support Vector Machine (SVM) approach,...