Classifying XML tags through "reading contexts"

ABSTRACT

Some tags used in XML documents create arbitrary breaks in the natural flow of the text. This may constitute an impediment to the application of some methods of document engineering. This article introduces the concept of ``reading contexts'', and gives clues to handle it theorically and in practice. This work should notably allow to recognize emphasis tags in a text, to define a new concept of term proximity in structured documents, to improve indexing techniques, and also to open up the way to advanced linguistic analyses of XML corpora.

REFERENCES

• 1: N. Fuhr, M. Lalmas, S. Malik, and Z. Szlàvik, editors. Advances in XML Information Retrieval. Third Workshop of the Initiative for the Evaluation of XML retrieval (INEX), volume 3493 of Lecture Notes in Computer Science, Schloss Dagstuhl, Germany, Dec. 2005. Springer-Verlag.
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• 3: H. Schmid. Probabilistic Part-of-Speech Tagging Using Decision Trees. In International Conference on New Methods in Language Processing, Sept. 1994.
• 4: X. Tannier. Dealing with XML structure through "Reading Contexts". Technical Report 2005-400-007, Ecole Nationale Supérieure des Mines de Saint-Etienne, Apr. 2005. http://www.emse.fr/\small$\sim$tannier/publications.html.
• 5: Extensible Markup Language (XML). World Wide Web Consortium (W3C) Recommandation, 2004. http://www.w3.org/TR/2004/REC-xml-20040204/.

INDEX TERMS

Primary Classification:
  H. Information Systems
  H.3 INFORMATION STORAGE AND RETRIEVAL
      H.3.1 Content Analysis and Indexing
          Subjects: Linguistic processing

General Terms:
Algorithms, Experimentation, Theory