Sciweavers

425 search results - page 32 / 85
» Learning tree languages from text
Sort
View
115
Voted
SEMWEB
2005
Springer
15 years 8 months ago
Ontology Learning and Reasoning - Dealing with Uncertainty and Inconsistency
Ontology Learning from text aims at generating domain ontologies from textual resources by applying natural language processing and machine learning techniques. It is inherent in t...
Peter Haase, Johanna Völker
157
Voted
WWW
2008
ACM
16 years 3 months ago
Learning deterministic regular expressions for the inference of schemas from XML data
Inferring an appropriate DTD or XML Schema Definition (XSD) for a given collection of XML documents essentially reduces to learning deterministic regular expressions from sets of ...
Geert Jan Bex, Wouter Gelade, Frank Neven, Stijn V...
121
Voted
TREC
1994
15 years 4 months ago
Indexing Structures Derived from Syntax in TREC-3: System Description
: This paper describes an approach to information retrieval based on a syntactic analysis of the document texts and user queries, and from that analysis, the construction of tree s...
Alan F. Smeaton, Ruairi O'Donnell, Fergus Kelledy
138
Voted
FLAIRS
2008
15 years 5 months ago
Learning a Probabilistic Model of Event Sequences from Internet Weblog Stories
One of the central problems in building broad-coverage story understanding systems is generating expectations about event sequences, i.e. predicting what happens next given some a...
Mehdi Manshadi, Reid Swanson, Andrew S. Gordon
104
Voted
CIDM
2007
IEEE
15 years 6 months ago
Efficient Kernel-based Learning for Trees
Kernel methods are effective approaches to the modeling of structured objects in learning algorithms. Their major drawback is the typically high computational complexity of kernel ...
Fabio Aiolli, Giovanni Da San Martino, Alessandro ...