Evaluation code for various unsupervised automated metrics for Natural Language Generation.
- natural-language-generation
- natural-language-processing
- nlg
- nlp
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Evaluation code for various unsupervised automated metrics for Natural Language Generation.
Neural question generation using transformers
🎯🗯 Dataset generation for AI chatbots, NLP tasks, named entity recognition or text classification models using a simple DSL!
Java API for Natural Language Generation. Originally developed by Ehud Reiter at the University of Aberdeen’s Department of Computing Science and co-founder of Arria NLG. This git repo is the official SimpleNLG version.
Accelerated Text is a no-code natural language generation platform. It will help you construct document plans which define how your data is converted to textual descriptions varying in wording and structure.
RNNLG is an open source benchmark toolkit for Natural Language Generation (NLG) in spoken dialogue system application domains. It is released by Tsung-Hsien (Shawn) Wen from Cambridge Dialogue Systems Group under Apache License 2.0.
A curated list of resources dedicated to Natural Language Generation (NLG)
Statistical NLG for spoken dialogue systems
The enriched version of the WebNLG described at INLG 2018
Chat anonymously with a randomly chosen stranger
Using Natural Language Generation (NLG) to create a random short story.
Natural language generation language
SimpleNLG-EnFr 1.1 is a bilingual English/French adaption of SimpleNLG v4.2
Dataset for NLG which contains preceding context along with each generation instance
German version of SimpleNLG 4
A minimalistic codebase for training NLG models from HuggingFace Transformers using PyTorch Lightning.