Transformer-based document-level discourse processing: Exploiting prior language knowledge and hierarchical parsing
Abstract: Highlights•We propose a Transformer-based discourse parser that incorporates multi-level linguistic features hierarchically.•Our model achieves state-of-the-art performance in multilingual discourse parsing across different languages.•The layer-wise beam search alleviates error propagation, improving inference consistently.•We further explore utilizing discourse information for abstractive summarization.
External IDs:dblp:journals/csl/LiuSC25
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