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Semantic-based Pre-training for Dialogue Understanding
Pre-trained language models have made great progress on dialogue tasks. However, these models are typically trained on surface dialogue …
Xuefeng Bai
,
Linfeng Song
,
Yue Zhang
Graph Pre-training for AMR Parsing and Generation
Abstract meaning representation (AMR) highlights the core semantic information of text in a graph structure. Recently, pre-trained …
Xuefeng Bai
,
Yulong Chen
,
Yue Zhang
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Semantic Representation for Dialogue Modeling
Although neural models have achieved competitive results in dialogue systems, they have shown limited ability in representing core …
Xuefeng Bai
,
Yulong Chen
,
Linfeng Song
,
Yue Zhang
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Online Back-Parsing for AMR-to-Text Generation
AMR-to-text generation aims to recover a text containing the same meaning as an input AMR graph. Current research develops increasingly …
Xuefeng Bai
,
Linfeng Song
,
Yue Zhang
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