|
gptkbp:instanceOf
|
gptkb:artificial_intelligence
gptkb:technology
|
|
gptkbp:alsoKnownAs
|
chatbots
conversational agents
|
|
gptkbp:application
|
education
healthcare
information retrieval
customer service
virtual assistants
|
|
gptkbp:assesses
|
user satisfaction
dialogue length
response relevance
task success rate
|
|
gptkbp:canBe
|
large language models
rule-based methods
deep learning methods
machine learning methods
open-domain
task-oriented
|
|
gptkbp:challenge
|
ambiguity resolution
context management
multi-turn conversation
user intent detection
dialogue coherence
|
|
gptkbp:component
|
natural language understanding
natural language generation
dialogue management
|
|
gptkbp:developedBy
|
1970s
|
|
gptkbp:format
|
gptkb:public_speaker
gptkb:text
multimodal
|
|
https://www.w3.org/2000/01/rdf-schema#label
|
dialogue systems
|
|
gptkbp:input
|
gptkb:writing_system
spoken language
|
|
gptkbp:notableExample
|
gptkb:Google_Assistant
gptkb:Siri
gptkb:ELIZA
gptkb:ChatGPT
gptkb:Alexa
|
|
gptkbp:output
|
gptkb:writing_system
spoken language
|
|
gptkbp:purpose
|
enable human-computer interaction via natural language
|
|
gptkbp:relatedTo
|
gptkb:machine_learning
human-computer interaction
natural language processing
speech recognition
|
|
gptkbp:researchArea
|
gptkb:artificial_intelligence
computational linguistics
|
|
gptkbp:bfsParent
|
gptkb:ATIS
gptkb:SHRDLU
gptkb:David_Traum
gptkb:Language_Model_for_Dialogue_Applications
gptkb:Special_Interest_Group_on_NLP_for_Dialogue_Systems
gptkb:partially_observable_Markov_decision_process
gptkb:Computational_Linguistics
gptkb:Natural_Language_Processing
gptkb:Smaranda_Muresan
gptkb:Ernie_AI_model
gptkb:GPT-2
gptkb:Intelligent_User_Interfaces_(IUI)
gptkb:Nvidia_NeMo
gptkb:NLG
gptkb:Speech_and_Language_Technology
|
|
gptkbp:bfsLayer
|
6
|