66 search results - page 4 / 14 » Supervised Machine Learning for Summarizing Legal Documents |
ICML
2006
IEEE
14 years 6 months ago
2006
IEEE
In supervised kernel methods, it has been observed that the performance of the SVM classifier is poor in cases where the diagonal entries of the Gram matrix are large relative to ...
ICTAI
2008
IEEE
14 years 5 days ago
2008
IEEE
Unlike simple questions, complex questions cannot be answered by simply extracting named entities. These questions require inferencing and synthesizing information from multiple d...
ICMLA
2009
13 years 3 months ago
2009
One important problem in machine learning is how to extract knowledge from prior experience, then transfer and apply this knowledge in new learning tasks. To address this problem, ...
SIGIR
2004
ACM
13 years 11 months ago
2004
ACM
In this paper we study the problem of finding most topical named entities among all entities in a document, which we refer to as focused named entity recognition. We show that th...
AAAI
2006
13 years 7 months ago
2006
Evaluating text fragments for positive and negative subjective expressions and their strength can be important in applications such as single- or multi- document summarization, do...