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JAIR
2006
137views more  JAIR 2006»
13 years 10 months ago
Learning Sentence-internal Temporal Relations
In this paper we propose a data intensive approach for inferring sentence-internal temporal relations. Temporal inference is relevant for practical NLP applications which either e...
Maria Lapata, Alex Lascarides
SIGIR
2008
ACM
13 years 10 months ago
Learning to rank with partially-labeled data
Ranking algorithms, whose goal is to appropriately order a set of objects/documents, are an important component of information retrieval systems. Previous work on ranking algorith...
Kevin Duh, Katrin Kirchhoff
CHI
2011
ACM
13 years 1 months ago
Does domain highlighting help people identify phishing sites?
Phishers are fraudsters that mimic legitimate websites to steal user’s credential information and exploit that information for identity theft and other criminal activities. Vari...
Eric Lin, Saul Greenberg, Eileah Trotter, David Ma...
SEMWEB
2011
Springer
13 years 26 days ago
Watson, more than a Semantic Web search engine
In this tool report, we present an overview of the Watson system, a Semantic Web search engine providing various functionalities not only to find and locate ontologies and semanti...
Mathieu d'Aquin, Enrico Motta
KDD
2003
ACM
157views Data Mining» more  KDD 2003»
14 years 10 months ago
Cross-training: learning probabilistic mappings between topics
Classification is a well-established operation in text mining. Given a set of labels A and a set DA of training documents tagged with these labels, a classifier learns to assign l...
Sunita Sarawagi, Soumen Chakrabarti, Shantanu Godb...