A discourse context-aware self-attention model with BERT sets new state-of-the-art results for fine-grained information status classification and bridging anaphora recognition on ISNotes.
In Proceedings of the 13th Conference of the Euro- pean Chapter of the Association for Computational Linguistics, Avignon, France, 23–27 April 2012, pages 798–807
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Fine-grained Information Status Classification Using Discourse Context-Aware Self-Attention
A discourse context-aware self-attention model with BERT sets new state-of-the-art results for fine-grained information status classification and bridging anaphora recognition on ISNotes.