Results 11 to 20 of about 9,383 (202)
Improving Abstraction in Text Summarization [PDF]
Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing, 2018 ive text summarization aims to shorten long text documents into a human readable form that contains the most important facts from the original document.
Kryściński, Wojciech +3 more
core +2 more sources
Abstractive Summarizers Become Emotional on News Summarization [PDF]
Applied SciencesEmotions are central to understanding contemporary journalism; however, they are overlooked in automatic news summarization. Actually, summaries are an entry point to the source article that could favor some emotions to captivate the reader. Nevertheless, the emotional content of summarization corpora and the emotional behavior of summarization models ...
Vicent Ahuir +3 more
openalex +4 more sources
Abstractive Summarization System
Journal of Electronics and Informatics, 2022 The World Wide Web has evolved into one of the world's most extensive information and knowledge repositories. Despite their ease of access, the great majority of such individual publications are extremely difficult to analyse or evaluate. Text summaries assist users in achieving such information-seeking goals by providing rapid access to the highlights
Amit Kumar, Manoj Kumar Gupta
openaire +1 more source
Multi-Encoder Transformer for Korean Abstractive Text Summarization
IEEE Access, 2023 In this paper, we propose a Korean abstractive text summarization approach that uses a multi -encoder transformer. Recently, in many natural language processing (NLP) tasks, the use of the pre-trained language models (PLMs) for transfer learning has ...
Youhyun Shin
doaj +1 more source
Dual Encoding for Abstractive Text Summarization [PDF]
IEEE Transactions on Cybernetics, 2020 Recurrent neural network-based sequence-to-sequence attentional models have proven effective in abstractive text summarization. In this paper, we model abstractive text summarization using a dual encoding model. Different from the previous works only using a single encoder, the proposed method employs a dual encoder including the primary and the ...
Kaichun Yao +5 more
openaire +3 more sources
Controllable Abstractive Summarization [PDF]
Proceedings of the 2nd Workshop on Neural Machine Translation and Generation, 2018 Current models for document summarization disregard user preferences such as the desired length, style, the entities that the user might be interested in, or how much of the document the user has already read. We present a neural summarization model with a simple but effective mechanism to enable users to specify these high level attributes in order to
Fan, Angela +2 more
openaire +2 more sources
Abstractive Timeline Summarization [PDF]
Proceedings of the 2nd Workshop on New Frontiers in Summarization, 2019 Timeline summarization (TLS) automatically identifies key dates of major events and provides short descriptions of what happened on these dates. Previous approaches to TLS have focused on extractive methods. In contrast, we suggest an abstractive timeline summarization system. Our system is entirely unsupervised, which makes it especially suited to TLS
Julius Steen, Katja Markert
openaire +1 more source
Discriminative Adversarial Search for Abstractive Summarization [PDF]
, 2020 We introduce a novel approach for sequence decoding, Discriminative Adversarial Search (DAS), which has the desirable properties of alleviating the effects of exposure bias without requiring external metrics. Inspired by Generative Adversarial Networks (GANs), wherein a discriminator is used to improve the generator, our method differs from GANs in ...
Thomas Scialom +4 more
openalex +5 more sources
A literature review of abstractive summarization methods
Sistemnì Doslìdženâ ta Informacìjnì Tehnologìï, 2019 The paper contains a literature review for automatic abstractive text summarization. The classification of abstractive text summarization methods was considered.
D. V. Shypik, Petro I. Bidyuk
doaj +1 more source
Unsupervised Semantic Abstractive Summarization [PDF]
Proceedings of ACL 2018, Student Research Workshop, 2018 Automatic abstractive summary generation remains a significant open problem for natural language processing. In this work, we develop a novel pipeline for Semantic Abstractive Summarization (SAS). SAS, as introduced by Liu et. al. (2015) first generates an AMR graph of an input story, through which it extracts a summary graph and finally, creates ...
Shibhansh Dohare +2 more
openaire +1 more source