18 search results - page 1 / 4 » Tree Kernel and Feature Vector Methods for Formal Semantic R... |
MLDM
2009
Springer
14 years 42 min ago
2009
Springer
ACL
2007
13 years 7 months ago
2007
Convolution tree kernel has shown promising results in semantic role classification. However, it only carries out hard matching, which may lead to over-fitting and less accurate s...
IPM
2008
13 years 5 months ago
2008
Extracting semantic relationships between entities from text documents is challenging in information extraction and important for deep information processing and management. This ...
EMNLP
2009
13 years 3 months 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. ...
SIGIR
2003
ACM
13 years 10 months ago
2003
ACM
Question classification is very important for question answering. This paper presents our research work on automatic question classification through machine learning approaches. W...