[HTML][HTML] Natural language processing methods and systems for biomedical ontology learning
While the biomedical informatics community widely acknowledges the utility of domain
ontologies, there remain many barriers to their effective use. One important requirement of …
ontologies, there remain many barriers to their effective use. One important requirement of …
Simlex-999: Evaluating semantic models with (genuine) similarity estimation
We present SimLex-999, a gold standard resource for evaluating distributional semantic
models that improves on existing resources in several important ways. First, in contrast to …
models that improves on existing resources in several important ways. First, in contrast to …
An overview of methods and tools for ontology learning from texts
A Gómez-Pérez, D Manzano-Macho - The knowledge engineering …, 2004 - cambridge.org
Ontology learning aims at reducing the time and efforts in the ontology development
process. In recent years, several methods and tools have been proposed to speed up this …
process. In recent years, several methods and tools have been proposed to speed up this …
Text2onto: A framework for ontology learning and data-driven change discovery
P Cimiano, J Völker - International conference on application of natural …, 2005 - Springer
In this paper we present Text2Onto, a framework for ontology learning from textual
resources. Three main features distinguish Text2Onto from our earlier framework …
resources. Three main features distinguish Text2Onto from our earlier framework …
Towards the self-annotating web
The success of the Semantic Web depends on the availability of ontologies as well as on the
proliferation of web pages annotated with metadata conforming to these ontologies. Thus, a …
proliferation of web pages annotated with metadata conforming to these ontologies. Thus, a …
[PDF][PDF] Ontology learning from text: A survey of methods
C Biemann - Journal for Language Technology and Computational …, 2005 - jlcl.org
After the vision of the Semantic Web was broadcasted at the turn of the millennium, ontology
became a synonym for the solution to many problems concerning the fact that computers do …
became a synonym for the solution to many problems concerning the fact that computers do …
Combining unsupervised, supervised and rule-based learning: the case of detecting patient allergies in electronic health records
Background Data mining of electronic health records (EHRs) has a huge potential for
improving clinical decision support and to help healthcare deliver precision medicine …
improving clinical decision support and to help healthcare deliver precision medicine …
Gimme'the context: context-driven automatic semantic annotation with C-PANKOW
Without the proliferation of formal semantic annotations, the Semantic Web is certainly
doomed to failure. In earlier work we presented a new paradigm to avoid this: the'Self …
doomed to failure. In earlier work we presented a new paradigm to avoid this: the'Self …
Automatic assignment of wikipedia encyclopedic entries to wordnet synsets
We describe an approach taken for automatically associating entries from an on-line
encyclopedia with concepts in an ontology or a lexical semantic network. It has been tested …
encyclopedia with concepts in an ontology or a lexical semantic network. It has been tested …
Learning by googling
The goal of giving a well-defined meaning to information is currently shared by endeavors
such as the Semantic Web as well as by current trends within Knowledge Management …
such as the Semantic Web as well as by current trends within Knowledge Management …