summarization

Better Highlighting: Creating Sub-Sentence Summary Highlights
Amongst the best means to summarize is highlighting. In this paper, we aim to generate summary highlights to be overlaid on the …
Sangwoo Cho, Kaiqiang Song, Chen Li, Dong Yu, Hassan Foroosh, Fei Liu
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Controlling the Amount of Verbatim Copying in Abstractive Summarization
An abstract must not change the meaning of the original text. A single most effective way to achieve that is to increase the amount of …
Kaiqiang Song, Bingqing Wang, Zhe Feng, Ren Liu, Fei Liu
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Joint Parsing and Generation for Abstractive Summarization
Sentences produced by abstractive summarization systems can be ungrammatical and fail to preserve the original meanings, despite being …
Kaiqiang Song, Logan Lebanoff, Qipeng Guo, Xipeng Qiu, Xiangyang Xue, Chen Li, Dong Yu, Fei Liu
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Scoring Sentence Singletons and Pairs for Abstractive Summarization
When writing a summary, humans tend to choose content from one or two sentences and merge them into a single summary sentence. However, …
Logan Lebanoff, Kaiqiang Song, Franck Dernoncourt, Doo Soon Kim, Seokhwan Kim, Walter Chang, Fei Liu
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Adapting the Neural Encoder-Decoder Framework from Single to Multi-Document Summarization
Generating a text abstract from a set of documents remains a challenging task. The neural encoder-decoder framework has recently been …
Logan Lebanoff, Kaiqiang Song, Fei Liu
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Structure-Infused Copy Mechanisms for Abstractive Summarization
Seq2seq learning has produced promising results on summarization. However, in many cases, system summaries still struggle to keep the …
Kaiqiang Song, Lin Zhao, Fei Liu
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