[PDF] Top 20 Summary Level Training of Sentence Rewriting for Abstractive Summarization

... stractive summarization, Sentence Rewriting models adopt the strategy of extracting salient sentences from a document first and then para- phrasing the selected ones to generate a sum- ...on ... See full document

... erated summary that are not present in the in- put ...more abstractive summaries than previous ...individual sentence-pairs, the abstractor learns to drop more document words so as to write ... 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

... Abstractive sentence summarization aims at gen- erating concise and informative summaries based on the core meaning of source ...scale training corpora (Banko et ...the abstractive ... See full document

... our training set, we pair the headline of each article with its first sentence to create an input- summary ...prune training based on the following heuristic filters: (1) Are there no ... See full document

... and sentence separation while discard- ing other annotations such as tags and ...first sentence of each article with its head- line to form sentence-summary ...for training, val- ... See full document

... the abstractive approach in a multi-document setting aims at generating summaries by deeply understanding the contents of the document set and rewriting the most rel- evant information in natural ...cent ... See full document

... Templates are derived from human-authored meeting summaries in the training data. We first collect sentences whose subjects are meeting par- ticipant(s) and that contain active root verbs, from the summaries. This ... See full document

... missed. Training and evaluating remainder summarization requires specific data, namely a dataset of full documents with position markers separating the already read portion from the remainder part along ... See full document

... tional training data for source-to-target ...guage sentence back into the source language sen- tence by a third-party NMT ...target summary to build a training resource for the stu- dent ... See full document

... Most abstractive summarization methods (See et al., 2017; Li et al., 2017; Zhou et al., 2017; Liu et al., 2018; Cohan et al., 2018; Paulus et al., 2018) employ sequence-to-sequence (seq2seq) models ... See full document

... As our CGU is responsible for selecting impor- tant information of the outputs from the RNN en- coder to improve the quality of the attention score, it should be able to reduce repetition in the gen- erated ... See full document

... the summary is a high-level overview of the entire video, mention- ing that the peppers are being “cut”, and that this is a “Cuban breakfast recipe”, which is not men- tioned in the ...for training, ... See full document

... particular sentence similarity metric or from a particular sentence ranking ...different sentence similarity metrics, when combined produce an aggregate summary whose coverage is much better ... See full document

... for Abstractive Sentence Summarization ...the sentence summarization as a three- phase task: encoding, selection, and ...a sentence encoder, a selective gate net- work, and a ... 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

... a sentence of each human summary in the training set by replacing each NP in the sentence with a blank slot that is labeled with the hypernym of the NP’s head using ...candidate summary ... See full document

... summarization. PBTMSum combining pattern mining techniques with LDA topic modelling could generate discriminative and semantic rich representations for topics and documents so that the most representative and ... See full document

... Text summarization approaches can be broadly divided into two groups: extractive summarization and abstractive ...Extractive summarization extracts salient sentences or phrases from the source ... See full document

... Modern abstractive summarizers excel at finding and extracting salient content (See et ...of summarization is consolidation of infor- mation, and these systems can struggle to combine content from multiple ... See full document