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hi my name is logan lebanov and im a student at the university of central florida my work is on understanding points of correspondence between sentences for abstractive summarization this work was done with john muchevedge from my lab and collaborators from docHub frank durnin court du soon kim lee don wang and walter chang and my advisor fei lu lets go into the motivation for this work so a very important part of summarization is being able to fuse different sentences together and humans are quite good at doing this heres an example so if i asked you to fuse these two senses together about robert downey jr walking out of an interview with a journalist because they started asking personal questions you might choose this content and then create this fused sentence so while this is easy for humans to do its very hard for modern abstractive summarizers to do for example the pointer generator network only performs fusion six percent of the time while humans do it at a much higher rate