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LREC
2008
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15 years 6 months ago
A Semantic Memory for Incremental Ontology Population
Generally, ontology learning and population is applied as a semi-automatic approach to knowledge acquisition in natural language understanding systems. That means, after the ontol...
Berenike Loos, Lasse Schwarten
134
Voted
NAACL
2007
15 years 6 months ago
Data-Driven Graph Construction for Semi-Supervised Graph-Based Learning in NLP
Graph-based semi-supervised learning has recently emerged as a promising approach to data-sparse learning problems in natural language processing. All graph-based algorithms rely ...
Andrei Alexandrescu, Katrin Kirchhoff
NAACL
2007
15 years 6 months ago
Incremental Non-Projective Dependency Parsing
An open issue in data-driven dependency parsing is how to handle non-projective dependencies, which seem to be required by linguistically adequate representations, but which pose ...
Joakim Nivre
149
Voted
NAACL
2007
15 years 6 months ago
Semi-Supervised Learning for Semantic Parsing using Support Vector Machines
We present a method for utilizing unannotated sentences to improve a semantic parser which maps natural language (NL) sentences into their formal meaning representations (MRs). Gi...
Rohit J. Kate, Raymond J. Mooney
146
Voted
SWAP
2008
15 years 6 months ago
OWL Change Management Patterns
Ontology evolution is a complex problem. In our work, we focus on issues related to change management, particularly consistency maintenance and we present in this paper, an overvie...
Rim Djedidi, Marie-Aude Aufaure