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tm-chatbot
Wiki Rasa
Commits
f5ce2319
Commit
f5ce2319
authored
6 years ago
by
Lucas Schons
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Merge branch '20-uberarbeitung-slides' into 'master'
adds version1.1 of slides with better formatting. Closes
#20
See merge request
!18
parents
39ca4c52
4249583c
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1 merge request
!18
adds version1.1 of slides with better formatting.
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docs/2018-12-14-presentation.md
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View file @
f5ce2319
...
@@ -12,11 +12,7 @@
...
@@ -12,11 +12,7 @@
---
---
## Zielsetzung
### Zielsetzung
---
### Rasa Chatbot
RASA ist ein Framework für die Nutzung von Chatbots. Das System muss mit Facts befüllt
RASA ist ein Framework für die Nutzung von Chatbots. Das System muss mit Facts befüllt
werden, um Antworten generieren zu können.
werden, um Antworten generieren zu können.
...
@@ -38,11 +34,11 @@ Dies soll anhand der Wikipedia-Einträge von Physikern erprobt werden.
...
@@ -38,11 +34,11 @@ Dies soll anhand der Wikipedia-Einträge von Physikern erprobt werden.
---
---
## Daten
##
#
Daten
*
Knapp 1000 Wikipedia Artikel
*
Knapp 1000 Wikipedia Artikel
*
Über Wikipedia API
*
Über Wikipedia API
*
HTML
*
HTML
-Formatierung
*
Ca. 550 Wörter/Artikel
*
Ca. 550 Wörter/Artikel
*
Großteil um 400 Wörter
*
Großteil um 400 Wörter
...
@@ -54,14 +50,6 @@ Dies soll anhand der Wikipedia-Einträge von Physikern erprobt werden.
...
@@ -54,14 +50,6 @@ Dies soll anhand der Wikipedia-Einträge von Physikern erprobt werden.
## Funktionsweise Rasa-Bots
## Funktionsweise Rasa-Bots
*
`nlu.md`
- _Intents_
*
`stories.md`
- _Gesprächsverlauf_
*
`domain.yml`
- _Entitäten, Actions, Slots_
*
`nlu_config.yml`
- _Pipeline_
*
`actions.py`
- _findBirthplace()_
---
```
```
rasa
rasa
├── actions.py - Custom Actions
├── actions.py - Custom Actions
...
@@ -101,10 +89,12 @@ class ActionSearchIsAlive(Action):
...
@@ -101,10 +89,12 @@ class ActionSearchIsAlive(Action):
```
bash
```
bash
"
is
Albert
Einstein
still
alive"
"
is
Albert
Einstein
still
alive"
2018-12-12 14:39:38 DEBUG rasa_core.processor - Received user message
2018-12-12 14:39:38 DEBUG rasa_core.processor -
'is Albert Einstein still alive' with intent '{'name'
:
'
is_alive'
,
'
confidence'
:
Received user message 'is Albert Einstein still alive'
0.9826370477676392}' and entities '[{'start'
:
3, 'end'
:
18, 'value'
:
with intent '{'name'
:
'
is_alive'
,
'
confidence'
:
'
Albert
Einstein'
,
'
entity'
:
'
Physicist'
,
'
confidence'
:
0.9928692094590056,
0.9826370477676392}' and entities '[{'start'
:
3, 'end'
:
18, 'value'
:
'
Albert
Einstein'
,
'
entity'
:
'
Physicist'
,
'
confidence'
:
0.9928692094590056,
'extractor'
:
'
ner_crf'
}]
'
'extractor'
:
'
ner_crf'
}]
'
```
```
...
@@ -113,11 +103,11 @@ class ActionSearchIsAlive(Action):
...
@@ -113,11 +103,11 @@ class ActionSearchIsAlive(Action):
## Antworten des Bots
## Antworten des Bots
```
bash
```
bash
2018-12-12 18:54:23 DEBUG rasa_core.processor - Predicted next action
2018-12-12 18:54:23 DEBUG rasa_core.processor -
'action_search_is_alive'
with prob 1.00.
Predicted next action
'action_search_is_alive'
2018-12-12 18:54:23 DEBUG rasa_core.processor - Action
'action_search_is_alive'
with prob 1.00. 2018-12-12 18:54:23 DEBUG
rasa_core.processor - Action
'action_search_is_alive'
ended with events
'['
SlotSet
(
key: is_alive, value: False
)
']'
ended with events
'['
SlotSet
(
key: is_alive, value: False
)
']'
2018-12-12 18:54:23 DEBUG rasa_core.processor - Bot utterance
"The Life status of Albert Einstein is False."
"The Life status of Albert Einstein is False."
```
```
...
@@ -128,8 +118,8 @@ ended with events '['SlotSet(key: is_alive, value: False)']'
...
@@ -128,8 +118,8 @@ ended with events '['SlotSet(key: is_alive, value: False)']'
*
Information Extraction
*
Information Extraction
*
Name-Entity-Recognition für "einfache" Intents: Orte, Datum etc.
*
Name-Entity-Recognition für "einfache" Intents: Orte, Datum etc.
*
word2vec oder Bootstrapping Relationship Extractors
, um
die "schwierigeren"
*
word2vec oder Bootstrapping Relationship Extractors
für
die "schwierigeren"
Intents: Forschungsgebiet bzw. verheiratetM
IT
, kindV
ON
etc.
Intents:
'
Forschungsgebiet
'
bzw.
'
verheiratetM
it'
,
'
kindV
on'
etc.
*
RASA trainieren
*
RASA trainieren
*
APIs um die einzelnen Teile zusammen zubringen
*
APIs um die einzelnen Teile zusammen zu
bringen
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