Deep Mind Natural Language Processing Research
GPTKB entity
Statements (81)
| Predicate | Object |
|---|---|
| gptkbp:instance_of |
gptkb:Research_Institute
|
| gptkbp:bfsLayer |
3
|
| gptkbp:bfsParent |
gptkb:philosopher
|
| gptkbp:aims_to |
enhance user experience
optimize performance promote inclusivity foster collaboration enhance creativity improve accessibility improve language understanding bridge language gaps reduce bias in AI enhance translation accuracy |
| gptkbp:analyzes |
cultural context
language acquisition user engagement user interactions user trust text data contextual understanding communication patterns language evolution ethical implications language structure language diversity language and identity social implications semantic understanding |
| gptkbp:applies_to |
chatbots
|
| gptkbp:collaborates_with |
government agencies
academic institutions industry partners |
| gptkbp:conducts |
experiments
|
| gptkbp:contributed_to |
open-source projects
AI ethics AI research community |
| gptkbp:created |
gptkb:Educational_Institution
datasets |
| gptkbp:develops |
gptkb:Model
dialog systems speech recognition systems interactive systems content moderation tools virtual agents personal assistants AI-driven applications AI tools for education |
| gptkbp:engages_in |
community outreach
interdisciplinary research |
| gptkbp:enhances |
human-computer interaction
|
| gptkbp:explores |
emotional intelligence
knowledge representation sentiment analysis cognitive models discourse analysis language generation cross-lingual models language modeling techniques |
| gptkbp:focuses_on |
gptkb:software
text summarization |
| https://www.w3.org/2000/01/rdf-schema#label |
Deep Mind Natural Language Processing Research
|
| gptkbp:innovation |
neural network architectures
|
| gptkbp:investment |
AI safety
|
| gptkbp:is_a_tool_for |
text analysis
|
| gptkbp:part_of |
gptkb:philosopher
|
| gptkbp:participates_in |
conferences
|
| gptkbp:publishes |
gptkb:academic_journal
|
| gptkbp:research |
information retrieval
text classification language models dialogue management |
| gptkbp:supports |
open data initiatives
public engagement data privacy real-time processing research funding collaborative projects research transparency multilingual models |
| gptkbp:utilizes |
machine learning techniques
transformer models |