# Rasa NLU 0.13.0 is released! **URL:** \ **Category:** Release Announcements\ **Created:** [August 3, 2018, 7:55am UTC](https://forum.rasa.com/t/rasa-nlu-0-13-0-is-released/3490 "2018-08-03T07:55:42Z")\ **Posts on this page:** 8\ **Page:** 1
**Author:** ![Juste](https://dub1.discourse-cdn.com/flex013/user_avatar/forum.rasa.com/juste/32/15_2.png) [@Juste](https://forum.rasa.com/u/Juste)\ **Post date:** [August 3, 2018, 7:55am UTC](https://forum.rasa.com/t/rasa-nlu-0-13-0-is-released/3490/1 "2018-08-03T07:55:42Z")
# Rasa NLU 0.13.0 is released! Please roll the drums! 🥁🥁🥁 Rasa NLU 0.13.0 is now [released](https://pypi.org/project/rasa_nlu/)! It includes lots of new features like: - language-agnostic NER - docs translated into Chinese by our amazing contributors! - lots of improvements on ner-crf and much more so make sure to check out the [changelog](https://github.com/RasaHQ/rasa_nlu/blob/master/CHANGELOG.rst) and give rasa nlu 0.13.0 a go! > **[rasa-nlu](https://pypi.org/project/rasa-nlu/)** > > Rasa NLU a natural language parser for bots ---
**Author:** ![asokolow](https://avatars.discourse-cdn.com/v4/letter/a/5fc32e/32.png) [@asokolow](https://forum.rasa.com/u/asokolow)\ **Post date:** [August 3, 2018, 8:50am UTC](https://forum.rasa.com/t/rasa-nlu-0-13-0-is-released/3490/2 "2018-08-03T08:50:13Z")
Hey, are the changes available on the github ? ---
**Author:** ![Juste](https://dub1.discourse-cdn.com/flex013/user_avatar/forum.rasa.com/juste/32/15_2.png) [@Juste](https://forum.rasa.com/u/Juste)\ **Post date:** [August 3, 2018, 11:53am UTC](https://forum.rasa.com/t/rasa-nlu-0-13-0-is-released/3490/3 "2018-08-03T11:53:30Z")
Hey @asokolow. Yes, the master branch on GitHub contains all the latest changes. ---
**Author:** ![PierrePaul](https://dub1.discourse-cdn.com/flex013/user_avatar/forum.rasa.com/pierrepaul/32/82_2.png) [@PierrePaul](https://forum.rasa.com/u/PierrePaul)\ **Post date:** [August 3, 2018, 8:07pm UTC](https://forum.rasa.com/t/rasa-nlu-0-13-0-is-released/3490/4 "2018-08-03T20:07:09Z")
Nice! Good job! Sadly, this also means the 0.12 doc doesn’t work anymore ☹ [http://rasa.com/docs/core/slots/0.10.2/slots.html](http://rasa.com/docs/core/slots/0.10.2/slots.html) ---
**Author:** ![Juste](https://dub1.discourse-cdn.com/flex013/user_avatar/forum.rasa.com/juste/32/15_2.png) [@Juste](https://forum.rasa.com/u/Juste)\ **Post date:** [August 3, 2018, 8:24pm UTC](https://forum.rasa.com/t/rasa-nlu-0-13-0-is-released/3490/5 "2018-08-03T20:24:02Z")
Hey @PierrePaul. Thanks for pointing this out - there’s definitely an issue with the links. While we fix this, you can switch to a different version of the docs from the index page of the version of your choice. So for example, you can change to 0.10.2 (or any other version) from [http://rasa.com/docs/core](http://rasa.com/docs/core), then you can switch to any other version from [http://rasa.com/docs/core/0.10.2/index.html](http://rasa.com/docs/core/0.10.2/index.html) and so on. We will fix this as soon as possible 🙂 ---
**Author:** ![PierrePaul](https://dub1.discourse-cdn.com/flex013/user_avatar/forum.rasa.com/pierrepaul/32/82_2.png) [@PierrePaul](https://forum.rasa.com/u/PierrePaul)\ **Post date:** [August 3, 2018, 8:35pm UTC](https://forum.rasa.com/t/rasa-nlu-0-13-0-is-released/3490/6 "2018-08-03T20:35:28Z")
Awesome thank you! ---
**Author:** ![Krogsager](https://dub1.discourse-cdn.com/flex013/user_avatar/forum.rasa.com/krogsager/32/95_2.png) [@Krogsager](https://forum.rasa.com/u/Krogsager)\ **Post date:** [August 6, 2018, 12:11pm UTC](https://forum.rasa.com/t/rasa-nlu-0-13-0-is-released/3490/7 "2018-08-06T12:11:44Z")
“language-agnostic NER” - so duckling is obsolete? _fingers crossed_ ---
**Author:** ![souvikg10](https://dub1.discourse-cdn.com/flex013/user_avatar/forum.rasa.com/souvikg10/32/93_2.png) [@souvikg10](https://forum.rasa.com/u/souvikg10)\ **Post date:** [August 7, 2018, 7:54am UTC](https://forum.rasa.com/t/rasa-nlu-0-13-0-is-released/3490/8 "2018-08-07T07:54:10Z")
No, language-agnostic NER is NER\_CRF that is to train custom entity. previously the ner\_crf was dependent on spacY’s tokens to be able to build a model for entity extraction. that means you will have to provide a spacy’s vectors in order to extract entities making it dependent on the languages provided by spaCy. However now, language-agnostic NER CRF actually uses whitespace tokens( tokenised by whitespace) in order to build the entity extraction model. so it does not depend on spacY anymore so you can build a NER on Klingnon if you like 😃 Duckling is a rule based entity extractor so very system like entity extraction like Date, time, duration, distance, currency. You can also add custom dimensions in duckling for countries, cities etc etc since they all can be predefined by a set of rules unlike CRF where entities are extracted from patterns.