Learning to Generate CGs from Domain Specific Sentences

@inproceedings{Zhang2001LearningTG,
  title={Learning to Generate CGs from Domain Specific Sentences},
  author={Lei Zhang and Yong Yu},
  booktitle={ICCS},
  year={2001}
}
Automatically generating Conceptual Graphs (CGs) [1] from natural language sentences is a difficult task in using CG as a semantic (knowledge) representation language for natural language information source. However, up to now only few approaches have been proposed for this task and most of them either are highly dependent on one domain or use many manually constructed generation rules. In this paper, we propose a machine-learning based approach that can be trained for different domains and… CONTINUE READING
BETA

From This Paper

Figures, tables, and topics from this paper.

Citations

Publications citing this paper.
SHOWING 1-10 OF 21 CITATIONS, ESTIMATED 38% COVERAGE

55 Citations

0510'02'05'09'13'17
Citations per Year
Semantic Scholar estimates that this publication has 55 citations based on the available data.

See our FAQ for additional information.

References

Publications referenced by this paper.
SHOWING 1-10 OF 15 REFERENCES

J.Mooney, Machine learning and nautural language (introduction to special issue on natural language language learning)

  • Claire Cardie, Raymond
  • Machine Learning,
  • 1999
1 Excerpt

Mooney , Machine learning and nautural language ( introduction to special issue on natural language language learning )

  • Claire Cardie, J. Raymond
  • Machine Learning
  • 1999

Similar Papers

Loading similar papers…