ALDAI: active learning documents annotation interface

ABSTRACT

In the framework of the LegDoC project at XRCE, we present a document annotation interface with an integrated active learning component. The interface is designed for automating the annotation of layout-oriented documents with semantic labels. We describe core functionalities of the interface; we pay a particular attention to the learning component, including the feature management and different strategies of deploying the active learner in the document annotation.

REFERENCES

• 1: Adam L. Berger , Vincent J. Della Pietra , Stephen A. Della Pietra, A maximum entropy approach to natural language processing, Computational Linguistics, v.22 n.1, p.39-71, March 1996
• 2: J.-P. Chanod, B. Chidlovskii, H. Dejean, and et al. From legacy documents to xml: A conversion framework. In Proc. European Conf. Digital Libraries, pages 92--103, 2005.

INDEX TERMS

Primary Classification:
  I. Computing Methodologies
  I.7 DOCUMENT AND TEXT PROCESSING
      I.7.1 Document and Text Editing
          Subjects: Document management

Additional Classification:
  H. Information Systems
  H.3 INFORMATION STORAGE AND RETRIEVAL
      H.3.1 Content Analysis and Indexing
      H.3.7 Digital Libraries
          Subjects: Dissemination

  K. Computing Milieux
  K.3 COMPUTERS AND EDUCATION
      K.3.m Miscellaneous

General Terms:
Design, Management