Statements (57)
| Predicate | Object |
|---|---|
| gptkbp:instanceOf |
gptkb:Company
|
| gptkbp:developedBy |
Allen_Institute_for_AI
|
| gptkbp:features |
Model training and evaluation
|
| gptkbp:has |
Documentation
Active community Extensible architecture Active development Model zoo |
| https://www.w3.org/2000/01/rdf-schema#label |
AllenNLP
|
| gptkbp:includes |
Tokenizers
Dataset readers |
| gptkbp:isAvailableIn |
GitHub
|
| gptkbp:isCompatibleWith |
Linux
Windows macOS Python 3.6+ |
| gptkbp:isDesignedFor |
NLP_tasks
|
| gptkbp:isKnownFor |
Flexibility
Ease of use Modularity |
| gptkbp:isPartOf |
AI research ecosystem
|
| gptkbp:isPromotedBy |
Online courses
Tutorials Webinars Educational institutions |
| gptkbp:isRated |
PyTorch_framework
|
| gptkbp:isSupportedBy |
Conferences
Workshops Community contributions Research collaborations |
| gptkbp:isUsedBy |
Developers
Researchers |
| gptkbp:isUsedFor |
Question answering
Sentiment analysis Text classification Semantic role labeling Language modeling Named entity recognition Machine translation Text generation Dependency parsing Coreference resolution |
| gptkbp:isUsedIn |
Academic papers
Industry applications |
| gptkbp:offers |
Command line interface
|
| gptkbp:provides |
Visualization tools
Pre-trained models Evaluation metrics Preprocessing tools |
| gptkbp:publishedIn |
Python
|
| gptkbp:releasedIn |
2017
|
| gptkbp:supports |
gptkb:PyTorch
Transfer learning Multi-task learning Custom model creation GPU_acceleration |
| gptkbp:usedFor |
Deep_Learning_for_NLP
|