Trainable components overview

In addition to its rule-based pipeline components, EDS-NLP offers new trainable components to fit and run machine learning models for classic biomedical information extraction tasks.

All trainable components implement the [TorchComponent][edsnlp.core.torch_component.TorchComponent] class, which provides a common API for training and inference.

Available components :

Name	Description
`eds.transformer`	Embed text with a transformer model
`eds.text_cnn`	Contextualize embeddings with a CNN
`eds.span_pooler`	A span embedding component that aggregates word embeddings
`eds.ner_crf`	A trainable component to extract entities
`eds.extractive_qa`	A trainable component for extractive question answering
`eds.span_classifier`	A trainable component for multi-class multi-label span classification
`eds.span_linker`	A trainable entity linker (i.e. to a list of concepts)
`eds.biaffine_dep_parser`	A trainable biaffine dependency parser