Greetings, everyone! @seanfitz here, introducing the Adapt Intent Parser.
While we lock down licensing/code organization (i.e. before the code is up for grabs), I thought I’d share an overview that I wrote for the Mycroft crew. I’m here to answer questions about capabilities, help with integration and sdks, and to continue development of Adapt. Here’s to the exciting path ahead!
Adapt Intent Determination
The Adapt Intent Parser is a flexible and extensible intent definition and determination framework. It is intended to parse natural language text into a structured intent that can then be invoked programatically.
Intent Modelling
In this context, an Intent is an action the system should perform. In the context of Pandora, we’ll define two actions: List Stations, and Select Station (aka start playback)
With the Adapt intent builder:
list_stations_intent = IntentBuilder('pandora:list_stations')\
.require('Browse Music Command')\
.build()
For the above, we are describing a “List Stations” intent, which has a single requirement of a “Browse Music Command” entity.
play_music_command = IntentBuilder('pandora:select_station')\
.require('Listen Command')\
.require('Pandora Station')\
.optionally('Music Keyword')\
.build()
For the above, we are describing a “Select Station” (aka start playback) intent, which requires a “Listen Command” entity, a “Pandora Station”, and optionally a “Music Keyword” entity.
Entities
Entities are a named value. Examples include:
Blink 182 is an Artist
The Big Bang Theory is a Television Show
Play is a Listen Command
Song(s) is a Music Keyword
For my Pandora implementation, there is a static set of vocabulary for Browse Music Command, Listen Command, and Music Keyword (defined by me, a native english speaker and all-around good guy). Pandora Station entities are populated via a list stations API call to Pandora. Here’s what the vocabulary registration looks like.
def register_vocab(entity_type, entity_value):
# a tiny bit of code
def register_pandora_vocab(emitter):
for v in ["stations"]:
register_vocab('Browse Music Command', v)
for v in ["play", "listen", "hear"]:
register_vocab('Listen Command', v)
for v in ["music", "radio"]:
register_vocab('Music Keyword', v)
for v in ["Pandora"]:
register_vocab('Plugin Name', v)
station_name_regex = re.compile(r"(.*) Radio")
p = get_pandora()
for station in p.stations:
m = station_name_regex.match(station.get('stationName'))
if not m:
continue
for match in m.groups():
register_vocab('Pandora Station', match)
- we are very much trying to build the cloud infrastructure around these technologies, hopefully we’ll do a blog post soon to talk about it!