  External linguistic resources have been used for a very long time in
information extraction. These methods enrich a document with data that are
semantically equivalent, in order to improve recall. For instance, some of
these methods use synonym dictionaries. These dictionaries enrich a sentence
with words that have a similar meaning. However, these methods present some
serious drawbacks, since words are usually synonyms only in restricted
contexts. The method we propose here consists of using word sense
disambiguation rules (WSD) to restrict the selection of synonyms to only these
that match a specific syntactico-semantic context. We show how WSD rules are
built and how information extraction techniques can benefit from the
application of these rules.
