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IJCAI
2003
13 years 10 months ago
Information Extraction from Web Documents Based on Local Unranked Tree Automaton Inference
Information extraction (IE) aims at extracting specific information from a collection of documents. A lot of previous work on 10 from semi-structured documents (in XML or HTML) us...
Raymond Kosala, Maurice Bruynooghe, Jan Van den Bu...
IDA
2005
Springer
14 years 2 months ago
Learning from Ambiguously Labeled Examples
Inducing a classification function from a set of examples in the form of labeled instances is a standard problem in supervised machine learning. In this paper, we are concerned w...
Eyke Hüllermeier, Jürgen Beringer
ECML
2006
Springer
14 years 12 days ago
Learning Stochastic Tree Edit Distance
Trees provide a suited structural representation to deal with complex tasks such as web information extraction, RNA secondary structure prediction, or conversion of tree structured...
Marc Bernard, Amaury Habrard, Marc Sebban
SIGIR
2004
ACM
14 years 2 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
EACL
2006
ACL Anthology
13 years 10 months ago
Making Tree Kernels Practical for Natural Language Learning
In recent years tree kernels have been proposed for the automatic learning of natural language applications. Unfortunately, they show (a) an inherent super linear complexity and (...
Alessandro Moschitti