EasyESA: A Low-effort Infrastructure for Explicit Semantic Analysis

@inproceedings{Carvalho2014EasyESAAL,
  title={EasyESA: A Low-effort Infrastructure for Explicit Semantic Analysis},
  author={Danilo S. Carvalho and Cagatay Calli and Andr{\'e} Freitas and Edward Curry},
  booktitle={International Semantic Web Conference},
  year={2014}
}
Distributional semantic models (DSMs) are semantic models which are based on the statistical analysis of co-occurrences of words in large corpora. DSMs can be used in a wide spectrum of semantic applications including semantic search, question answering, paraphrase detection, word sense disambiguation, among others. The ability to automatically harvest meaning from unstructured heterogeneous data, its simplicity of use and the ability to build comprehensive semantic models are major strengths… CONTINUE READING

Similar Papers

Citations

Publications citing this paper.
SHOWING 1-10 OF 22 CITATIONS

Thingsonomy: Tackling Variety in Internet of Things Events

  • IEEE Internet Computing
  • 2015
VIEW 4 EXCERPTS
CITES BACKGROUND & METHODS
HIGHLY INFLUENCED