This model is a fine-tuned version of distilber-base-cased designed to
classify parliamentary speech into past, present or future
orientation.
The training data for the model consists of roughly 3,600 sentences
from the UK House of Commons Hansard which have been hand-coded by two
coders working independently and reconciling their differences.
Sentences have been pre-processed using
Duckling to turn absolute
temporal references into relative temporal references. Thus, the
sentence
Note that sentences which dealt with conditional claims or were in the
irrealis were classified as present-oriented. Sentences or sentence
fragments which could not be classified in any other way were
classified as present-oriented. The distribution of temporal foci in
the training data was as follows:
