Natural Language Understanding
Showing 9 of 9 projects
TensorFlow implementation and pre-trained models for BERT, a bidirectional Transformer for language understanding.
Fast, state-of-the-art tokenizers for training and tokenization, optimized for both research and production.
A GPT-2 variant that generates plausible fake words, definitions, and usage examples from scratch.
Catalyst is a high-performance C# NLP library inspired by spaCy, offering pre-trained models, entity recognition, and embedding training.
A curated list of resources dedicated to Natural Language Generation (NLG), including datasets, libraries, tools, and research.
A curated list of resources dedicated to Natural Language Generation (NLG), including datasets, libraries, tools, and research.
A Node.js sample application demonstrating IBM Watson Natural Language Understanding service features.
A pre-trained BERT-based model for detecting positive or negative sentiment in short text fragments.
A BERT-based model that detects six types of toxicity in text comments, deployable as a Docker container.
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