This model identifies complex NPs modified by non-finite nominal clauses ("appositives") in the input sentence.

Try the test sentence:

My name is Sarah and I live in London[,] the capital of England.

Note that accuracy is greatly improved if you place square brackets around the left boundary of the non-finite nominal clause.

The model was derived using code adapted from an original program written by Dr. Le An Ha at the University of Wolverhampton.
{}
transformers pytorch bert token-classification autotrain_compatible endpoints_compatible region:us
TAGS
#transformers #pytorch #bert #token-classification #autotrain_compatible #endpoints_compatible #region-us 

This model identifies complex NPs modified by non-finite nominal clauses ("appositives") in the input sentence.

Try the test sentence:

My name is Sarah and I live in London[,] the capital of England.

Note that accuracy is greatly improved if you place square brackets around the left boundary of the non-finite nominal clause.

The model was derived using code adapted from an original program written by Dr. Le An Ha at the University of Wolverhampton.
TAGS
#transformers #pytorch #bert #token-classification #autotrain_compatible #endpoints_compatible #region-us 

passage: TAGS
#transformers #pytorch #bert #token-classification #autotrain_compatible #endpoints_compatible #region-us 
