Authors
Ramesh Nallapati, Bowen Zhou, Cicero dos Santos, Çaglar Gulçehre, Bing Xiang
Description
Abstractive Text Summarization Page 1 Abstractive Text Summarization using Sequence-to-sequence
RNNs and Beyond Written by: Ramesh Nallapati, Bowen Zhou, Cicero dos Santos, Çaglar
Gulçehre, and Bing Xiang From IBM and Université de Montréal Presented by: Ehsan
Amjadian @RBC Page 2 Summary • Objective: • Abstractive summarization using attentional
encoder-decoder RNNs • Main Contributions: • Modeling keywords • Explicitly capturing
syntactic hierarchy • Decoder able to emit rare or unseen words • State-of-the-art performance
(2016) • Creating and benchmarking dataset for multi-sentence summary summarization Page
3 What is abstractive text summarization • Generating summaries (a few short sentences)
that capture the salient ideas of the text • Abstractive: not a mere selection of existing
sentences but a compressed rephrasing with potentially unseen words • Why not just use MT …
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