[PDF] Top 20 Bottom Up Abstractive Summarization

... the abstractive system. However, we also note that the abstractive system requires access to the full source ...to abstractive models showed a drastic decrease in model ...more abstractive ... See full document

... Table 2: Effect of ’Informed’ Fusion We generate summaries using all the possible 6 combinations of two approaches and three sen- tence similarity metrics. We then combine the summaries resulting from a particular ... See full document

... Abstractive summarization supposedly digests and understands the source content and, consequently, the generated summaries are typically a reorgani- zation of the wording that sometimes form new ... See full document

... Role of Entities and Coherence in Summariza- tion. Entities in a text carry useful contextual information (Nenkova, 2008) and therefore play an important role in multi-document summariza- tion (Li et al., 2006) and event ... See full document

... for abstractive summarization can suffer from repetition and semantic irrelevance, causing grammatical errors and insufficient reflection of the main idea of the source ... See full document

... In this work, we propose an alternative method to use AMRs for abstractive summarization. Our approach is inspired by the way humans summa- rize any piece of text. User studies Chin et al. (2009); Kang et ... See full document

... to abstractive summarization, informa- tion extraction, content selection, and surface realization are all challenging ...to abstractive summarization, learning how to abstract from the source ... See full document

... Recent approaches emphasize the importance of separating content selection from summary gener- ation for abstractive summarization. Studies ex- ploit extractive methods to identify content words and ... See full document

... study abstractive summariza- tion for open-domain ...news summarization, the goal is less to “compress” text information but rather to provide a fluent textual summary of infor- mation that has been ... See full document

... dataset has been extensively used in recent studies on abstractive summarization (Takase et al., 2016; Chopra et al., 2016; Kiyono et al., 2017; Zhou et al., 2017; Suzuki and Nagata, 2017; Cao et al., ... See full document

... existing summarization metrics are well-suited for extractive summaries, and are di- rectly or indirectly based upon word or syntactic substructure overlap (Lin, ...of abstractive summarization needs ... See full document

... Recent summarization research has put special emphasis on faithfulness to the original ...and Bottom-Up, even though it has lower ...of-the-art summarization models are unfaithful to the ... See full document

... evance and event features (Wong et al., 2008). However, a few efforts have been directed to- wards abstractive summaries, including the modifi- cation (i.e., editing and rewriting) of extracted sen- tences (Jing ... See full document

... All of the aforementioned methods compute ex- tractive summaries, which are composed of sen- tences from the original texts. In comparison, our abstractive approach has a few appealing advan- tages. Most ... See full document

... Attention mechanisms have shown to be crucial for summarization as well (Rush et al., 2015; Zeng et al., 2016; Nallapati et al., 2017), and pointer networks (Vinyals et al., 2015a), in particular, help address ... See full document

... Summarization allows a reader with limited time to quickly comprehend the essence of a document. Controlling summary length enables reading with different time budgets: a document might be summarized as a ... See full document

... text summarization has focused on extractive summarization, which forms summary by selection of important sentences from the ...document abstractive summarization in ...document ... See full document

... Neural abstractive summa- rization models have been successful in gener- ating fluent and consistent summaries with ad- vancements like the copy (Pointer-generator) and coverage ...Unified Summarization ... See full document

... document summarization (MDS) ...generate abstractive summaries that com- bine information from different ...in abstractive summarization is achieved by neural networks (Celikyilmaz et ... See full document

... Multi-document summarization methods can be either extractive or ...An abstractive summarization attempts to gain an understanding of the main concepts in a document ...extractive ... See full document