Task Adapters

CoNLL 2000

Text chunking was the shared task for CoNLL-2000. This data consists of the same partitions of the Wall Street Journal corpus (WSJ) as the widely used data for noun phrase chunking: sections 15-18 as training data (211727 tokens) and section 20 as test data (47377 tokens). The annotation of the data has been derived from the WSJ corpus by a program written by Sabine Buchholz from Tilburg University, The Netherlands.

Website

AdapterHub/roberta-base-pf-conll2000 roberta-base

huggingface.co Head:

# Adapter `AdapterHub/roberta-base-pf-conll2000` for roberta-base An [adapter](https://adapterhub.ml) for the `roberta-base` model that was trained on the...

AdapterHub/bert-base-uncased-pf-conll2000 bert-base-uncased

huggingface.co Head:

# Adapter `AdapterHub/bert-base-uncased-pf-conll2000` for bert-base-uncased An [adapter](https://adapterhub.ml) for the `bert-base-uncased` model that was trained on the...