A Generalized Vector Space Model for Text Retrieval Based on Semantic Relatedness

@inproceedings{Tsatsaronis2009AGV,
  title={A Generalized Vector Space Model for Text Retrieval Based on Semantic Relatedness},
  author={G. Tsatsaronis and Vicky Panagiotopoulou},
  booktitle={EACL},
  year={2009}
}
Generalized Vector Space Models (GVSM) extend the standard Vector Space Model (VSM) by embedding additional types of information, besides terms, in the representation of documents. An interesting type of information that can be used in such models is semantic information from word thesauri like WordNet. Previous attempts to construct GVSM reported contradicting results. The most challenging problem is to incorporate the semantic information in a theoretically sound and rigorous manner and to… Expand
90 Citations
Role of semantic indexing for text classification
  • 1
Combining Heterogeneous Knowledge Resources for Improved Distributional Semantic Models
  • 9
  • PDF
Semantic smoothing for text clustering
  • 40
  • PDF
Extended Vector Space Model with Semantic Relatedness on Java Archive Search Engine
  • 3
  • PDF
COMPARISON OF VSM, GVSM, AND LSI IN INFORMATION RETRIEVAL FOR INDONESIAN TEXT
  • 6
Enabled Generalized Vector Space Model to Improve Document Retrieval
  • 38
  • PDF
Ranking of Odia Text Document Relevant to User Query Using Vector Space Model
Omiotis: A Thesaurus-Based Measure of Text Relatedness
  • 17
  • PDF
Document semantic distance based on the time series model
  • 2
...
1
2
3
4
5
...

References

SHOWING 1-10 OF 34 REFERENCES
On modeling of information retrieval concepts in vector spaces
  • 182
  • PDF
Word Sense Disambiguation for Exploiting Hierarchical Thesauri in Text Classification
  • 60
  • PDF
Computing Semantic Relatedness Using Wikipedia-based Explicit Semantic Analysis
  • 2,241
  • PDF
Semantic Similarity Based on Corpus Statistics and Lexical Taxonomy
  • 3,225
  • PDF
Evaluating WordNet-based Measures of Lexical Semantic Relatedness
  • 1,497
  • Highly Influential
  • PDF
A Re-examination of Query Expansion Using Lexical Resources
  • 93
  • PDF
Using WordNet to disambiguate word senses for text retrieval
  • 585
  • PDF
Placing search in context: the concept revisited
  • 1,621
  • PDF
Combining Knowledge- and Corpus-based Word-Sense-Disambiguation Methods
  • 78
  • PDF
Using Information Content to Evaluate Semantic Similarity in a Taxonomy
  • 3,739
  • PDF
...
1
2
3
4
...