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Several practical and learning issues for future work

First step to use the annotation result:

  • Finding a unique id such as DOI for each reference via the crossref site. It can be used as an important metadata that describes the reference.
  • Finding also a unique id such as ISBN for a reviewed book in an article of Revues.org, using external services such as amazon.org. Then a link can be created toward the corresponding page of the external site.

Practical construction of Bilbo system:

  • Expanding the testified result to other real references by integrating the test codes into the Revues.org platform.

To improve the accuracy of automatic annotation:

  • Incorporation of the external resources at the level of modeling. A kind of semi-supervised learning seems to be appropriate for this issue.
  • Applying rule based post-processing.

Processing of third corpus:

  • Another main tool for the treatment of corpus 3 will be topic model for the context analysis.
  • Named entity disambiguation is necessary because the initial expression of forename confuses the author identification.

Each issue will involve a number of detailed statistical or heuristic techniques.

 


OpenEdition vous propose de citer ce billet de la manière suivante :
Young-Min Kim (21 décembre 2011). Several practical and learning issues for future work. OpenEdition Lab. Consulté le 11 octobre 2024 à l’adresse https://doi.org/10.58079/qnq2


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