This is an automated email from the ASF dual-hosted git repository.
aradzinski pushed a commit to branch master
in repository https://gitbox.apache.org/repos/asf/incubator-nlpcraft-website.git
The following commit(s) were added to refs/heads/master by this push:
new 9d50f77 WIP.
9d50f77 is described below
commit 9d50f778d18efb9f8b060647e96f868418bf46e1
Author: Aaron Radzinzski <[email protected]>
AuthorDate: Sun Jan 17 22:34:22 2021 -0800
WIP.
---
_scss/blogs.scss | 7 +++++++
blogs/how_to_find_something_in_the_text.html | 21 +++++++++++++++++++++
2 files changed, 28 insertions(+)
diff --git a/_scss/blogs.scss b/_scss/blogs.scss
index 5330fc3..3a7ac7e 100644
--- a/_scss/blogs.scss
+++ b/_scss/blogs.scss
@@ -24,6 +24,13 @@ img.avatar-img {
border-radius: 100%;
}
+#blog {
+ .img-title {
+ margin-top: 25px;
+ margin-bottom: 10px;
+ }
+}
+
.blog-header {
a, a:hover, a:active, i.fas {
color: $color-asphalt;
diff --git a/blogs/how_to_find_something_in_the_text.html
b/blogs/how_to_find_something_in_the_text.html
index 9644443..6ea3db8 100644
--- a/blogs/how_to_find_something_in_the_text.html
+++ b/blogs/how_to_find_something_in_the_text.html
@@ -67,6 +67,27 @@ publish_date: January 20, 2021
Let's take a look at several well-known NLP libraries that provide
built-in NER components.
</p>
<h3 class="section-sub-title">Apache OpenNLP</h3>
+ <p>
+ <img class="img-title" src="/images/opennlp-logo.png" height="48px"
alt="">
+ </p>
+ <p>
+ <a target="_blank" href="https://opennlp.apache.org/";>Apache
OpenNlp</a> is an Apache licensed open source library that provides a typical
set of built-in NER
+ components for English to detect dates, times, geographic locations,
organizations, numeric values,
+ and known persons. Other languages such as Spanish and Dutch are
supported with some limitations.
+ </p>
+ <p>
+ Apache OpenNLP is a Java library and its models are available
separately due to ASF
+ release process limitations.
+ </p>
+ <p>
+ <b>Pros:</b><br/>
+ Apache license, mature and well tested implementation.
+ </p>
+ <p>
+ <b>Cons:</b><br/>
+ Built-in models don’t see much of the development, if any at all, in
the last several years.
+ It appears that the main usage pattern of Apache OpenNLP is to build
and train your own models from scratch.
+ </p>
<h3 class="section-sub-title">Stanford NLP</h3>
<h3 class="section-sub-title">Google Language API</h3>
<h3 class="section-sub-title">spacy</h3>
