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Merge 0b5e60d into f406337
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tabergma committed Apr 6, 2020
2 parents f406337 + 0b5e60d commit b52460a
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2 changes: 1 addition & 1 deletion changelog/5230.bugfix.rst
@@ -1 +1 @@
Fixed issue where posting to certain callback channel URLs would return a 500 error on successful posts due to invalid response format
Fixed issue where posting to certain callback channel URLs would return a 500 error on successful posts due to invalid response format
23 changes: 13 additions & 10 deletions changelog/5465.feature.rst → changelog/5465.feature.rst
Expand Up @@ -2,22 +2,25 @@ Update training data format for NLU to support composite entities.

You can now specify synonyms, roles, and groups of entities using the following data format:
Markdown:

.. code-block:: none

[LA]{"entity": "location", "role": "city", "group": "CA", "value": "Los Angeles"}
[LA]{"entity": "location", "role": "city", "group": "CA", "value": "Los Angeles"}

JSON:

.. code-block:: none

"entities": [
{
"start": 10,
"end": 12,
"value": "Los Angeles",
"entity": "location",
"role": "city",
"group": "CA",
}
"entities": [
{
"start": 10,
"end": 12,
"value": "Los Angeles",
"entity": "location",
"role": "city",
"group": "CA",
}
]

The markdown format ``[LA](location:Los Angeles)`` is deprecated. To update your training data file just
execute the following command on the terminal of your choice:
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2 changes: 1 addition & 1 deletion changelog/5475.bugfix.rst
Expand Up @@ -2,4 +2,4 @@ One word can just have one entity label.

If you are using, for example, ``ConveRTTokenizer`` words can be split into multiple tokens.
Our entity extractors assign entity labels per token. So, it might happen, that a word, that was split into two tokens,
got assigned two different entity labels. This is now fixed. One word can just have one entity label at a time.
got assigned two different entity labels. This is now fixed. One word can just have one entity label at a time.
2 changes: 1 addition & 1 deletion changelog/5509.bugfix.rst
Expand Up @@ -2,4 +2,4 @@ An entity label should always cover a complete word.

If you are using, for example, ``ConveRTTokenizer`` words can be split into multiple tokens.
Our entity extractors assign entity labels per token. So, it might happen, that just a part of a word has
an entity label. This is now fixed. An entity label always covers a complete word.
an entity label. This is now fixed. An entity label always covers a complete word.
File renamed without changes.
4 changes: 1 addition & 3 deletions examples/moodbot/config.yml
Expand Up @@ -4,11 +4,9 @@ pipeline:
- name: "SpacyNLP"
- name: "SpacyTokenizer"
- name: "SpacyFeaturizer"
- name: "RegexFeaturizer"
- name: "LexicalSyntacticFeaturizer"
- name: "DIETClassifier"
entity_recognition: False
epochs: 100
- name: "EntitySynonymMapper"

policies:
- name: TEDPolicy
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2 changes: 1 addition & 1 deletion pyproject.toml
Expand Up @@ -9,7 +9,7 @@ exclude = "((.eggs | .git | .pytype | .pytest_cache | build | dist))"

[tool.poetry]
name = "rasa"
version = "1.9.5"
version = "1.10.0-alpha1"
description = "Open source machine learning framework to automate text- and voice-based conversations: NLU, dialogue management, connect to Slack, Facebook, and more - Create chatbots and voice assistants"
authors = [ "Rasa Technologies GmbH <hi@rasa.com>",]
maintainers = [ "Tom Bocklisch <tom@rasa.com>",]
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2 changes: 1 addition & 1 deletion rasa/version.py
@@ -1,3 +1,3 @@
# this file will automatically be changed,
# do not add anything but the version number here!
__version__ = "1.9.5"
__version__ = "1.10.0-alpha1"

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