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SIGIR
2004
ACM
15 years 5 months ago
Focused named entity recognition using machine learning
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...
Li Zhang, Yue Pan, Tong Zhang
ESANN
2007
15 years 1 months ago
How to process uncertainty in machine learning?
Uncertainty is a popular phenomenon in machine learning and a variety of methods to model uncertainty at different levels has been developed. The aim of this paper is to motivate ...
Barbara Hammer, Thomas Villmann
CIKM
2009
Springer
15 years 6 months ago
Post-rank reordering: resolving preference misalignments between search engines and end users
No search engine is perfect. A typical type of imperfection is the preference misalignment between search engines and end users, e.g., from time to time, web users skip higherrank...
Chao Liu, Mei Li, Yi-Min Wang
WWW
2006
ACM
16 years 14 days ago
Structuring namespace descriptions
Namespaces are a central building block of XML technologies today, they provide the identification mechanism for many XML-related vocabularies. Despite their ubiquity, there is no...
Erik Wilde
WWW
2008
ACM
16 years 14 days ago
International workshop on question answering on the web (QAWeb2008)
A half-day single track workshop is designed to gather academic researchers and industrial practitioners at to share ideas and knowledge of know-how, and to discuss all relevant i...
Liu Wenyin, Qing Li, Xuedong Huang