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ILP
2007
Springer
14 years 1 months ago
Bias/Variance Analysis for Relational Domains
Bias/variance analysis is a useful tool for investigating the performance of machine learning algorithms. Conventional analysis decomposes loss into errors due to aspects of the le...
Jennifer Neville, David Jensen
SIGIR
2008
ACM
13 years 7 months ago
Learning from labeled features using generalized expectation criteria
It is difficult to apply machine learning to new domains because often we lack labeled problem instances. In this paper, we provide a solution to this problem that leverages domai...
Gregory Druck, Gideon S. Mann, Andrew McCallum
KCAP
2005
ACM
14 years 1 months ago
Extracting knowledge from evaluative text
Capturing knowledge from free-form evaluative texts about an entity is a challenging task. New techniques of feature extraction, polarity determination and strength evaluation hav...
Giuseppe Carenini, Raymond T. Ng, Ed Zwart
ICAIL
2009
ACM
14 years 2 months ago
Creating an argumentation corpus: do theories apply to real arguments?: a case study on the legal argumentation of the ECHR
Argumentation annotation is a crucial step in applying machine learning techniques to the argumentation field. However, there exist few argumentation corpora and their developmen...
Raquel Mochales Palau, Aagje Ieven
AI
2003
Springer
14 years 1 months ago
Summarizing Web Sites Automatically
This research is directed towards automating the Web Site summarization task. To achieve this objective, an approach, which applies machine learning and natural language processing...
Yongzheng Zhang, A. Nur Zincir-Heywood, Evangelos ...