STEER: Semantic Turn Extension-Expansion Recognition for Voice Assistants.
Leon Liyang ZhangJiarui LuJoel Ruben Antony MonizAditya KulkarniDhivya PiraviperumalTien Dung TranNick TzouHong YuPublished in: EMNLP (Industry Track) (2023)
Keyphrases
- recognition rate
- pattern recognition
- recognition accuracy
- high level
- automatic recognition
- object recognition
- semantic annotation
- semantic description
- handwritten digits
- human activities
- character recognition
- semantic knowledge
- semantic search
- recognition process
- visual recognition
- semantic web technologies
- image recognition
- activity recognition
- semantic information
- natural language
- feature extraction
- semantically meaningful
- semantically related
- data sets
- semantically equivalent
- semantic features
- context dependent
- low level features
- semantic web
- neural network