In Conclusion Not Repetition: Comprehensive Abstractive Summarization with Diversified Attention Based on Determinantal Point Processes
Lei Li, Wei Liu, Marina Litvak, Natalia Vanetik, Zuying Huang · 2019
Various Seq2Seq learning models designed for machine translation were applied for abstractive summarization task recently.Despite these models provide high ROUGE scores, they are limited to generate comprehensive summaries with a high level of abstraction due to its degenerated attention distribution.We introduce Diverse Convolutional Seq2Seq Model(DivCNN Seq2Seq) using Determinantal Point Processes methods(Micro DPPs and Macro DPPs) to produce attention distribution considering both quality and diversity.Without breaking the end to end architecture, Di-vCNN Seq2Seq achieves a higher level of comprehensiveness compared to vanilla models and strong baselines.All the reproducible codes and datasets are available online 1 .1 available at https://github.com/thinkwee/DPPCNN Sum marization Article: marseille , france the french prosecutor leading an investigation into the crash of germanwings flight 9525 insisted wednesday that he was not aware of any video footage from on board the plane .marseille prosecutor brice robin told cnn that so far no videos were used in the crash investigation ...... of a cell phone video showing the harrowing final seconds from on board germanwings flight 9525 as it crashed into the french alps .......paris match and bild reported that the video was recovered from a phone at the wreckage site ....... cnn 's frederik pleitgen , pamela boykoff , antonia mortensen , sandrine amiel and anna-maja rappard contributed to this report .CNN Seq2Seq: french prosecutor UNK robin says he was not aware of any video