Computer Science – Artificial Intelligence
Scientific paper
2006-09-24
Proceedings of the fifth international conference on Language Resources and Evaluation, LREC 2006 (2006) 1782-1786
Computer Science
Artificial Intelligence
Scientific paper
The paper describes the ALVIS annotation format designed for the indexing of large collections of documents in topic-specific search engines. This paper is exemplified on the biological domain and on MedLine abstracts, as developing a specialized search engine for biologists is one of the ALVIS case studies. The ALVIS principle for linguistic annotations is based on existing works and standard propositions. We made the choice of stand-off annotations rather than inserted mark-up. Annotations are encoded as XML elements which form the linguistic subsection of the document record.
Alphonse Erick
Derivière Julien
Hamon Thierry
Nazarenko Adeline
Vauvert Guillaume
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