The ALVIS Format for Linguistically Annotated Documents
type: Distribution
access URL: https://hal.science/hal-00080472
format: HTML
issued: 2026-05-12T04:02:16.214424
modified: 2026-05-12T04:02:16.187768

test_moissonnage_selune
type: Agent

The ALVIS Format for Linguistically Annotated Documents
type: Dataset
contact point: Organization
  fn: CCSD
keyword: document-annotation
keyword: infoinfo-aicomputer-science-csartificial-intelligence-csai
keyword: infoeu-reposemanticsconferenceobject
keyword: h31
keyword: xml-format
keyword: semantic-annotation
keyword: conference-papers
keyword: natural-language-processing
description: 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.
issued: 2026-05-12T04:02:16.207171
language: en
modified: 2026-05-12T04:02:16.207176