Implementing a semantic interpreter using conceptual graphs
IBM Journal of Research and Development
Modern Information Retrieval
ICCS '98 Proceedings of the 6th International Conference on Conceptual Structures: Theory, Tools and Applications
Implementation of Conceptual Graphs using Frames in LEAD
KBCS '89 Proceedings of the International Conference on Knowledge Based Computer Systems
A Multilingual Analyser ofMedical Texts
ICCS '94 Proceedings of the Second International Conference on Conceptual Structures: Current Practices
Reasonning on Aspectual-Temporal Information in French within Conceptual Graphs
ICTAI '02 Proceedings of the 14th IEEE International Conference on Tools with Artificial Intelligence
Automatically building conceptual graphs using VerbNet and WordNet
ISICT '04 Proceedings of the 2004 international symposium on Information and communication technologies
Knowledge Representation and the Semantics of Natural Language (Cognitive Technologies)
Knowledge Representation and the Semantics of Natural Language (Cognitive Technologies)
Clustering document images using a bag of symbols representation
ICDAR '05 Proceedings of the Eighth International Conference on Document Analysis and Recognition
Graph-Theoretic Techniques for Web Content Mining
Graph-Theoretic Techniques for Web Content Mining
Graph building as a mining activity: finding links in the small
Proceedings of the 3rd international workshop on Link discovery
Co-clustering Documents and Words Using Bipartite Isoperimetric Graph Partitioning
ICDM '06 Proceedings of the Sixth International Conference on Data Mining
Latent Dirichlet Co-Clustering
ICDM '06 Proceedings of the Sixth International Conference on Data Mining
Constructing conceptual graphs using linguistic resources
TELE-INFO'05 Proceedings of the 4th WSEAS International Conference on Telecommunications and Informatics
Introduction to Information Retrieval
Introduction to Information Retrieval
Construction of conceptual graph representation of texts
HLT-SRWS '04 Proceedings of the Student Research Workshop at HLT-NAACL 2004
NLDB'10 Proceedings of the Natural language processing and information systems, and 15th international conference on Applications of natural language to information systems
Applying dependency trees and term density for answer selection reinforcement
CLEF'06 Proceedings of the 7th international conference on Cross-Language Evaluation Forum: evaluation of multilingual and multi-modal information retrieval
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We argue for that taking into account semantic relations between words in the text can improve information retrieval performance. We implemented the process of information retrieval with simplified Conceptual Graph-like structures and compare the results with those of the vector space model. Our semantic representation, combined with a small simplification of the vector space model, gives better results. In order to build Conceptual Graph-like representation, we have developed a grammar based on the dependency formalism and the standard defined for Conceptual Graphs (CG). We used noun premodifiers and noun post-modifiers, as well as verb frames, extracted from VerbNet, as a source of definition of semantic roles. VerbNet was chosen since its definitions of semantic roles have much in common with the CG standard. We experimented on a subset of the ImageClef 2008 collection of titles and annotations of medical images.