DeLFT (Deep Learning Framework for Text) is an Open Source Keras framework for text processing, covering sequence labeling (e.g. named entity tagging) and text classification (e.g. comment classification). This library re-implements standard state-of-the-art Deep Learning architectures and experiments them more particularly for the following tasks:
- Named Entity Recognition
- GROBID models (citation, dates, header, affiliation-address, etc.)
- insult recognition (for supporting automated moderation)
- scholar citation context classification (positive, neutral, negative citations)
- toxic comment classification (for supporting automated moderation)
The library is oriented toward production, with very compact models, efficient management of embeddings (no load time) and training data streaming for large scale datasets.