ML Anthology

Inducing Constraint-Based Grammars Using a Domain Ontology

Smaranda Muresan
AAAI 2004 pp. 995-996
doi:10.7916/d8891f9d /aaai/2004/muresan2004aaai-inducing/

Abstract

This thesis presents a framework for domain specific text- to-knowledge acquisition, with focus on medical domain. The main challenge of this domain is the abundance of linguistic phenomena that require both syntactic and semantic information in order to “understand” the meaning of the text, and thus to acquire knowledge. Examples include prepositional phrases, coordinations, noun-noun compounds and nominalizations, phenomena which are not well covered by existing syntactic or semantic parsers.

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Cite

Text

Muresan. "Inducing Constraint-Based Grammars Using a Domain Ontology." AAAI Conference on Artificial Intelligence, 2004. doi:10.7916/d8891f9d

Markdown

[Muresan. "Inducing Constraint-Based Grammars Using a Domain Ontology." AAAI Conference on Artificial Intelligence, 2004.](https://mlanthology.org/aaai/2004/muresan2004aaai-inducing/) doi:10.7916/d8891f9d

BibTeX

@inproceedings{muresan2004aaai-inducing,
  title     = {{Inducing Constraint-Based Grammars Using a Domain Ontology}},
  author    = {Muresan, Smaranda},
  booktitle = {AAAI Conference on Artificial Intelligence},
  year      = {2004},
  pages     = {995-996},
  doi       = {10.7916/d8891f9d},
  url       = {https://mlanthology.org/aaai/2004/muresan2004aaai-inducing/}
}