44 search results - page 5 / 9 » Training Conditional Random Fields with Multivariate Evaluat... |
ACL
2009
13 years 5 months ago
2009
In this paper, we analyze the impact of different automatic annotation methods on the performance of supervised approaches to the complex question answering problem (defined in th...
ACL
2008
13 years 9 months ago
2008
Statistical machine learning methods are employed to train a Named Entity Recognizer from annotated data. Methods like Maximum Entropy and Conditional Random Fields make use of fe...
CIKM
2010
Springer
13 years 6 months ago
2010
Springer
Dealing with verbose (or long) queries poses a new challenge for information retrieval. Selecting a subset of the original query (a "sub-query") has been shown to be an ...
EMNLP
2009
13 years 5 months ago
2009
Traditionally, machine learning approaches for information extraction require human annotated data that can be costly and time-consuming to produce. However, in many cases, there ...
PAMI
2010
13 years 6 months ago
2010
The notion of using context information for solving high-level vision and medical image segmentation problems has been increasingly realized in the field. However, how to learn a...