17 search results - page 1 / 4 » A Comparative Study on Ranking and Selection Strategies for ... |
COLING
2010
12 years 12 months ago
2010
This paper presents a comparative study on two key problems existing in extractive summarization: the ranking problem and the selection problem. To this end, we presented a system...
EMNLP
2011
12 years 4 months ago
2011
In this paper, we propose a novel approach to automatic generation of aspect-oriented summaries from multiple documents. We first develop an event-aspect LDA model to cluster sen...
ICASSP
2008
IEEE
13 years 11 months ago
2008
IEEE
The purpose of extractive document summarization is to automatically select a number of indicative sentences, passages, or paragraphs from the original document according to a tar...
ECML
2007
Springer
13 years 11 months ago
2007
Springer
L1 regularization is effective for feature selection, but the resulting optimization is challenging due to the non-differentiability of the 1-norm. In this paper we compare state...
ICMLC
2010
Springer
13 years 2 months ago
2010
Springer
: Patent classification is a large scale hierarchical text classification (LSHTC) task. Though comprehensive comparisons, either learning algorithms or feature selection strategies...