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» On the role of autocorrelations in texts
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ML
2002
ACM
223views Machine Learning» more  ML 2002»
14 years 9 months ago
Text Categorization with Support Vector Machines. How to Represent Texts in Input Space?
The choice of the kernel function is crucial to most applications of support vector machines. In this paper, however, we show that in the case of text classification, term-frequenc...
Edda Leopold, Jörg Kindermann
EMNLP
2009
14 years 7 months ago
Semi-supervised Semantic Role Labeling Using the Latent Words Language Model
Semantic Role Labeling (SRL) has proved to be a valuable tool for performing automatic analysis of natural language texts. Currently however, most systems rely on a large training...
Koen Deschacht, Marie-Francine Moens
KCAP
2011
ACM
14 years 28 days ago
An analysis of open information extraction based on semantic role labeling
Open Information Extraction extracts relations from text without requiring a pre-specified domain or vocabulary. While existing techniques have used only shallow syntactic featur...
Janara Christensen, Mausam, Stephen Soderland, Ore...
CHI
2003
ACM
15 years 10 months ago
The role of context in question answering systems
Despite recent advances in natural language question answering technology, the problem of designing effective user interfaces has been largely unexplored. We conducted a user stud...
Jimmy J. Lin, Dennis Quan, Vineet Sinha, Karun Bak...
INTERACT
2003
14 years 11 months ago
What Makes a Good Answer? The Role of Context in Question Answering
: Question answering systems have proven to be helpful to users because they can provide succinct answers that do not require users to wade through a large number of documents. How...
Jimmy J. Lin, Dennis Quan, Vineet Sinha, Karun Bak...