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 2018 Confer- ence on Empirical Methods in Natural Language Processing, Brussels, Belgium, 31 October– 4 November 2018, pages 5027–5038
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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.