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Concept-Based Retrieval Using Controlled Natural Language

Full Text: nldb97.pdf PDF

We present a method for retrieving concepts from web search queries and from candidate documents on the web, to help determine which of these documents are semantically (rather than simply key-word wise) related to the query. Our method combines hypothetical reasoning, which we use both for natural language analysis and for concept extraction, and domain oriented taxonomies of concepts to guide the system's reasoning.

Citation

O. Zaiane, A. Fall, S. Rochefort, V. Dahl, P. Tarau. "Concept-Based Retrieval Using Controlled Natural Language". International Workshop on Application of Natural Language to Information Systems, pp 11-26, June 1997.

Keywords:  
Category: In Workshop

BibTeX

@misc{Zaiane+al:NLDB97,
  author = {Osmar R. Zaiane and Andrew Fall and Stephen Rochefort and Veronica
    Dahl and Paul Tarau},
  title = {Concept-Based Retrieval Using Controlled Natural Language},
  Pages = {11-26},
  booktitle = {International Workshop on Application of Natural Language to
    Information Systems},
  year = 1997,
}

Last Updated: February 05, 2020
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