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» Word Sense Language Model for Information Retrieval
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TITB
2002
142views more  TITB 2002»
13 years 8 months ago
Building a bioinformatics ontology using OIL
This paper describes the initial stages of building an ontology of bioinformatics and molecular biology. The conceptualisation is encoded using the Ontology Inference Layer (OIL),...
Robert Stevens, Carole A. Goble, Ian Horrocks, Sea...
LRE
2006
175views more  LRE 2006»
13 years 8 months ago
Automatically generating related queries in Japanese
Web searchers reformulate their queries, as they adapt to search engine behavior, learn more about a topic, or simply correct typing errors. Automatic query rewriting can help user...
Rosie Jones, Kevin Bartz, Pero Subasic, Benjamin R...
ERSHOV
2009
Springer
14 years 3 months ago
Multi-level Virtual Machine Debugging Using the Java Platform Debugger Architecture
Abstract. Debugging virtual machines (VMs) presents unique challenges, especially meta-circular VMs, which are written in the same language they implement. Making sense of runtime ...
Thomas Würthinger, Michael L. Van De Vanter, ...
FLAIRS
2007
13 years 10 months ago
Indexing Documents by Discourse and Semantic Contents from Automatic Annotations of Texts
The basic aim of the model proposed here is to automatically build semantic metatext structure for texts that would allow us to search and extract discourse and semantic informati...
Brahim Djioua, Jean-Pierre Desclés
ACSC
2009
IEEE
14 years 3 months ago
A ConceptLink Graph for Text Structure Mining
Most text mining methods are based on representing documents using a vector space model, commonly known as a bag of word model, where each document is modeled as a linear vector r...
Rowena Chau, Ah Chung Tsoi, Markus Hagenbuchner, V...