File size: 831 Bytes
1f2ec2d fe33bcb 095f0d0 b44a5b0 095f0d0 1f2ec2d 095f0d0 1f2ec2d 095f0d0 94a4468 b44a5b0 893f43c b44a5b0 | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 | Try the test sentences:
<i>My name is Sarah and I live in London[, which] is the largest city in the UK.</i>
<i>John thought that that was a strange idea.</i>
<i>It was on Tuesdays when Peter took Tess for a walk.</i>
<i>John was so large that he had to crouch to fit through the front door.</i>
The model should tag the tokens in the sentence with information about whether or not they are contained within particular types of syntactic constituents.
If you find the model useful, please cite my thesis which presents the dataset used for finetuning:
Evans, R. (2020) Sentence Simplification for Text Processing. Doctoral thesis. University of Wolverhampton. Wolverhampton, UK. (https://rj3vans.github.io/Evans2020_SentenceSimplificationForTextProcessing.pdf)
There you will find more information about the tagging scheme. |