Coreference Resolution through a seq2seq Transition-Based System. (arXiv:2211.12142v1 [cs.CL])

Most recent coreference resolution systems use search algorithms over
possible spans to identify mentions and resolve coreference. We instead present
a coreference resolution system that uses a text-to-text (seq2seq) paradigm to
predict mentions and links jointly. We implement the coreference system as a
transition system and use multilingual T5 as an underlying language model. We
obtain state-of-the-art accuracy on the CoNLL-2012 datasets with 83.3 F1-score
for English (a 2.3 higher F1-score than previous work (Dobrovolskii, 2021))
using only CoNLL data …

arxiv seq2seq transition