This is an automated email from the ASF dual-hosted git repository.
sergeykamov pushed a commit to branch NLPCRAFT-513
in repository https://gitbox.apache.org/repos/asf/incubator-nlpcraft-website.git
The following commit(s) were added to refs/heads/NLPCRAFT-513 by this push:
new b31c6ee WIP.
b31c6ee is described below
commit b31c6ee2be310fff7e3ae7a50d83cb5471251832
Author: Sergey Kamov <[email protected]>
AuthorDate: Sun Dec 18 14:59:45 2022 +0400
WIP.
---
built-in-entity-parser.html | 8 +++++---
1 file changed, 5 insertions(+), 3 deletions(-)
diff --git a/built-in-entity-parser.html b/built-in-entity-parser.html
index 54caad6..b2f0b95 100644
--- a/built-in-entity-parser.html
+++ b/built-in-entity-parser.html
@@ -233,9 +233,11 @@ id: built-in-entity-parser
would require pre-existing marked up data sets and extensive
training. For each semantic element you can either provide a
set of synonyms to match on or specify a piece of code that
would be responsible for detecting that named
entity (discussed below). A synonym can have one or more
individual words. Note that element's ID is its
- implicit synonym so that even if no additional synonyms are
defined at least one synonym always exists. Note
- also that synonym matching is performed on <em>normalized</em>
and <em>stemmatized</em> forms of both
- a synonym and user input.
+ implicit synonym so that even if no additional synonyms are
defined at least one synonym always exists.
+ Note also that synonym matching is performed on
<em>normalized</em> and <em>stemmatized</em> forms of both
+ a synonym and user input on first phase and if first attempt
is not successful, it tries to match <em>stemmatized</em> forms
+ of synonyms with <em>stemmatized</em> forms of user input
which were <em>lemmatized</em> preliminarily.
+ This approach allows to provide more accurate matching and
doesn't force users to prepare synonyms in initial words form. .
</p>
<p>
