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 50th Annual Meeting of the Association for Computational Linguistics, Jeju Island, Korea, 8–14 July 2012, pages 795–804
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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.