Results 41 to 50 of about 9,383 (202)

Curriculum-Guided Abstractive Summarization

, 2023
Recent Transformer-based summarization models have provided a promising approach to abstractive summarization. They go beyond sentence selection and extractive strategies to deal with more complicated tasks such as novel word generation and sentence paraphrasing.
Sotudeh, Sajad, Deilamsalehy, Hanieh, Dernoncourt, Franck, Goharian, Nazli   +3 more
openaire   +2 more sources

Deep Recurrent Generative Decoder for Abstractive Text Summarization

, 2017
We propose a new framework for abstractive text summarization based on a sequence-to-sequence oriented encoder-decoder model equipped with a deep recurrent generative decoder (DRGN).
Bing, Lidong, Lam, Wai, Li, Piji, Wang, Zihao   +3 more
core   +1 more source

NASca and NASes: Two Monolingual Pre-Trained Models for Abstractive Summarization in Catalan and Spanish

Applied Sciences, 2021
Most of the models proposed in the literature for abstractive summarization are generally suitable for the English language but not for other languages.
Vicent Ahuir, Lluís-F. Hurtado, José Ángel González, Encarna Segarra   +3 more
doaj   +1 more source

Adapting the Neural Encoder-Decoder Framework from Single to Multi-Document Summarization

, 2018
Generating a text abstract from a set of documents remains a challenging task. The neural encoder-decoder framework has recently been exploited to summarize single documents, but its success can in part be attributed to the availability of large parallel
Lebanoff, Logan, Liu, Fei, Song, Kaiqiang   +2 more
core   +1 more source

End to End Urdu Abstractive Text Summarization With Dataset and Improvement in Evaluation Metric

IEEE Access
Urdu, being a common language in South Asia, has not received significant attention in terms of language processing compared to more advanced languages.
Hassan Raza, Waseem Shahzad
doaj   +1 more source

Automatic Summary Generation of News for People's Daily Online Corpus

Zhishi guanli luntan, 2022
[Purpose/significance] This paper conducts a study for the mainstream news media for People's Daily Online corpus, aiming to provide ideas and practical support for the study of automatic text summarization, which can then ...
Liang Yuan, Wang Dongbo, Huang Shuiqing
doaj   +1 more source

Benchmarking Large Language Models for Biomedical Literature Summarization: Abstractive Versus Extractive Paradigms

IEEE Access
Summarizing biomedical literature has become an important tool for researchers and healthcare professionals by increasing the speed of access to information.
Tugba Celikten, Aytug Onan
doaj   +1 more source

AUTOMATED SUMMARIZATION OF RESTAURANT REVIEWS USING HYBRID APPROACHES

ICTACT Journal on Soft Computing, 2022
The arena of automatic text summarization incorporates the paramount and relevant information from a large document. This research paper attempts at representing two hybrid models for automatic text summarization.
Shini George, V. Srividhya
doaj   +1 more source

Learning to Extract Coherent Summary via Deep Reinforcement Learning

, 2018
Coherence plays a critical role in producing a high-quality summary from a document. In recent years, neural extractive summarization is becoming increasingly attractive.
Hu, Baotian, Wu, Yuxiang
core   +1 more source

Abstractive Meeting Summarization Using Dependency Graph Fusion [PDF]

Proceedings of the 24th International Conference on World Wide Web, 2015
WWW '15 Companion Proceedings of the 24th International Conference on World Wide Web, Pages 5-6.
Banerjee, Siddhartha, Mitra, Prasenjit, Sugiyama, Kazunari   +2 more
openaire   +2 more sources