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EMNLP
2007
13 years 8 months ago
Enhancing Single-Document Summarization by Combining RankNet and Third-Party Sources
We present a new approach to automatic summarization based on neural nets, called NetSum. We extract a set of features from each sentence that helps identify its importance in the...
Krysta Marie Svore, Lucy Vanderwende, Christopher ...
ICWE
2010
Springer
13 years 4 months ago
Efficient Term Cloud Generation for Streaming Web Content
Large amounts of information are posted daily on the Web, such as articles published online by traditional news agencies or blog posts referring to and commenting on various events...
Odysseas Papapetrou, George Papadakis, Ekaterini I...
WWW
2010
ACM
13 years 11 months ago
Access: news and blog analysis for the social sciences
The social sciences strive to understand the political, social, and cultural world around us, but have been impaired by limited access to the quantitative data sources enjoyed by ...
Mikhail Bautin, Charles B. Ward, Akshay Patil, Ste...
CICLING
2010
Springer
14 years 1 months ago
Towards Automatic Detection and Tracking of Topic Change
We present an approach for automatic detection of topic change. Our approach is based on the analysis of statistical features of topics in time-sliced corpora and their dynamics ov...
Florian Holz, Sven Teresniak
ECIR
2009
Springer
14 years 3 months ago
Active Sampling for Rank Learning via Optimizing the Area under the ROC Curve
Abstract. Learning ranking functions is crucial for solving many problems, ranging from document retrieval to building recommendation systems based on an individual user’s prefer...
Pinar Donmez, Jaime G. Carbonell