The most extended way of acquiring information for knowledge based systems
is to do it manually. However, the high cost of this approach and the avail
ability of alternative Knowledge Sources has lead to an increasing use of a
utomatic acquisition approaches. In this paper we present M-TURBIO, a Text-
Based Intelligent System (TBIS) that extracts information contained in rest
ricted-domain documents. The system acquires part of its knowledge about th
e structure of the documents and the way the information is presented (i.e.
, syntactic-semantic rules) from a training set of these. Then, a database
is created by means of applying these syntactic-semantic rules to extract t
he information contained in the whole document.