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A Survey on Dialogue Summarization: Recent Advances and New Frontiers
Xiachong Feng, Xiaocheng Feng, Bing Qin
Dialogue summarization aims to condense the original dialogue into a shorter version covering salient information, which is a crucial way to reduce dialogue data overload. Recently…
Language Model as an Annotator: Exploring DialoGPT for Dialogue Summarization
Xiachong Feng, Xiaocheng Feng, Libo Qin +2
Current dialogue summarization systems usually encode the text with a number of general semantic features (e.g., keywords and topics) to gain more powerful dialogue modeling capabi…
The Factual Inconsistency Problem in Abstractive Text Summarization: A Survey
Yichong Huang, Xiachong Feng, Xiaocheng Feng +1
Recently, various neural encoder-decoder models pioneered by Seq2Seq framework have been proposed to achieve the goal of generating more abstractive summaries by learning to map in…