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Merge branch 'master' of github.com:RasaHQ/rasa_nlu
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tmbo committed Apr 20, 2018
2 parents 317e248 + 723eba8 commit e28045b
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8 changes: 8 additions & 0 deletions CHANGELOG.rst
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Fixed
-----

[0.12.2] - 2018-03-20
^^^^^^^^^^^^^^^^^^^^^

Fixed
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- fixed duckling text extraction for ner_duckling_http


[0.12.1] - 2018-03-18
^^^^^^^^^^^^^^^^^^^^^

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4 changes: 2 additions & 2 deletions README.md
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Expand Up @@ -123,8 +123,8 @@ The intended audience is mainly __people developing bots__, starting from scratc
These points are laid out in more detail in a [blog post](https://blog.rasa.com/put-on-your-robot-costume-and-be-the-minimum-viable-bot-yourself/). Rasa is a set of tools for building more advanced bots, developed by the company [Rasa](https://rasa.com). Rasa NLU is the natural language understanding module, and the first component to be open-sourced.

### What languages does it support?
Short answer: English, German, and Spanish currently.
Longer answer: If you want to add a new language, the key things you need are a tokenizer and a set of word vectors. More information can be found in the [language documentation](https://nlu.rasa.com/languages.html).
It depends. Some things, like intent classification with the `tensorflow_embedding` pipeline, work in any language.
Other features are more restricted. See details [here](https://nlu.rasa.com/languages.html)

### How to contribute
We are very happy to receive and merge your contributions. There is some more information about the style of the code and docs in the [documentation](https://nlu.rasa.com/contribute.html).
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2 changes: 1 addition & 1 deletion alt_requirements/requirements_full.txt
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# MITIE Requirements
-r requirements_mitie.txt

duckling==1.7.3
duckling==1.8.0
Jpype1==0.6.2
jieba==0.39
2 changes: 1 addition & 1 deletion rasa_nlu/extractors/duckling_extractor.py
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Expand Up @@ -50,7 +50,7 @@ def convert_duckling_format_to_rasa(matches):
value = extract_value(match)
entity = {"start": match["start"],
"end": match["end"],
"text": match["text"],
"text": match.get("body", match.get("text", None)),
"value": value,
"confidence": 1.0,
"additional_info": match["value"],
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2 changes: 1 addition & 1 deletion rasa_nlu/version.py
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from __future__ import division
from __future__ import absolute_import

__version__ = '0.12.1'
__version__ = '0.12.2'

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