[PDF] Top 20 Abstractive Text Summarization using Sequence to sequence RNNs and Beyond
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Abstractive Text Summarization using Sequence to sequence RNNs and Beyond
... text summarization. They show promising results on their Chinese dataset using an encoder-decoder RNN, but do not report experiments on English ...extractive summarization of ... See full document
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An Improved Attention Layer assisted Recurrent Convolutional Neural Network Model for Abstractive Text Summarization
... perform abstractive text ...perform text summarization. In addition, neural sequence-to-sequence (S2S) learning concept too has gained widespread attention for the headline ... See full document
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Abstractive Text Summarization by Incorporating Reader Comments
... Text summarization can be classified into extractive and ab- stractive ...for text gen- eration, a vast majority of the literature on summarization is dedicated to abstractive ... See full document
8
Deep Recurrent Generative Decoder for Abstractive Text Summarization
... stractive summarization model, it will improve the quality of the generated ...based sequence-to-sequence (seq2seq) framework has been proposed to tackle the abstractive summarization ... See full document
10
Improving Semantic Relevance for Sequence to Sequence Learning of Chinese Social Media Text Summarization
... Abstractive text summarization has achieved suc- cessful performance thanks to the sequence-to- sequence model (Sutskever et ...to text summarization, and gained better ... See full document
6
Exploring Human-Like Reading Strategy for Abstractive Text Summarization
... for summarization tasks, which estimate the consistency between n-gram occurrences in the generated and reference ...common sequence between the generated summary and the reference ... See full document
8
VAE PGN based Abstractive Model in Multi stage Architecture for Text Summarization
... Zhang et al. (2018) use a latent variable extrac- tive model where sentences are viewed as la- tent variables and sentences with activated vari- ables are used to infer gold summaries. Dong et al. (2018) utilize a policy ... See full document
6
Unsupervised Semantic Abstractive Summarization
... most Abstractive methods take advantages of the recent developments in deep ...the sequence to sequence Sutskever et ...the text; encodes it and then generate target text produce ... See full document
10
Framework for Abstractive Summarization using Text to Text Generation
... of text simplification. Text simplification has been associated with techniques that deal not only with helping readers with reading disabilities, but also to help NLP systems (Chandrasekar et ...by ... See full document
10
Bottom Up Abstractive Summarization
... a sequence-tagging problem, with the objec- tive of identifying tokens from a document that are part of its ...into abstractive summarization models, we employ masking to constrain copying words to ... See full document
12
Global Encoding for Abstractive Summarization
... Abstractive summarization can be regarded as a sequence mapping task that the source text should be mapped to the target ...Therefore, sequence-to-sequence learning can be ... See full document
7
Autoencoder as Assistant Supervisor: Improving Text Representation for Chinese Social Media Text Summarization
... Most of the current abstractive text sum- marization models are based on the sequence-to-sequence model (Seq2Seq). The source content of social media is long and noisy, so it is difficult for ... See full document
7
Abstractive Timeline Summarization
... We have already described the differences be- tween TLS and MDS and the limited direct appli- cability of MDS systems to TLS in Section 2.2. However, our methodology is inspired by the MDS system of Banerjee et al. ... See full document
11
Malayalam Text Summarization Using Graph Based Method
... original text and accepts the summarized ...source text and performs tokenizing, scoring, keyword extraction and sentence ...scored using statistical, linguistic and heuristic ...based text ... See full document
5
Abstractive Summarization of Product Reviews Using Discourse Structure
... for abstractive summarization of product reviews based on dis- course ...and abstractive baselines, including MEAD*, which is considered a state-of-the-art opinion extractive summarization ... See full document
12
Controllable Abstractive Summarization
... pared to 37.73 F1-R OUGE 1 of the baseline in Table 1). Our baseline always presents the full summary, re- gardless of the portion of the article presented as input. It achieves an F1-R OUGE 1 score of 28.12. Among our ... See full document
10
Toward Abstractive Summarization Using Semantic Representations
... competitive summarization systems are ex- tractive, selecting representative sentences from in- put documents and concatenating them to form a ...on abstractive summarization has explored user ... See full document
10
Abstractive Text Summarization Based on Deep Learning and Semantic Content Generalization
... of text along with natural language generation systems (based on information items, predicate arguments and semantic ...short text summarization (Paulus et ... See full document
11
A New Method of Text Categorization and Summarization with Fuzzy Confusion Matrix
... each text has been considered to be a fuzzy member of any category, if its attribute matching exceeds a certain ...The text are graded to be highly ... See full document
8
Self Attention Architectures for Answer Agnostic Neural Question Generation
... The Machine Reading Comprehension (MRC) community focuses on the development of mod- els and algorithms allowing machines to correctly represent the meaning imbued in natural sen- tences, in order to perform useful and ... See full document
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