Results 91 to 100 of about 9,383 (202)

Abstractive Text Summarization for the Urdu Language: Data and Methods

IEEE Access
The task of abstractive text summarization aims to automatically generate a short and concise summary of a given source article. In recent years, automatic abstractive text summarization has attracted the attention of researchers because large volumes of
Muhammad Awais, Rao Muhammad Adeel Nawab
doaj   +1 more source

Hybrid Approach To Abstractive Summarization

Procedia Computer Science, 2018
Abstract Text summarization is an application of information retrieval where short and non-redundant version of comparatively large text is presented to the end user. In this paper a hybrid approach is presented to generate abstract summary in which sentences are clustered using sentence level relationships among sentences in association with Markov ...
Deepak Sahoo, Ashutosh Bhoi, Rakesh Chandra Balabantaray   +2 more
openaire   +1 more source

Intelligent Abstractive Summarization of Scholarly Publications with Transfer Learning

Journal of Informatics and Web Engineering
Intelligent abstractive text summarization of scholarly publications refers to machine-generated summaries that capture the essential ideas of an article while maintaining semantic coherence and grammatical accuracy.
Farooq Zaman, Munaza Afzal, Pin Shen Teh, Raheem Sarwar, Faisal Kamiran, Naif R. Aljohani, Raheel Nawaz, Muhammad Umair Hassan, Fahad Sabah   +8 more
doaj   +1 more source

COVID-19 information retrieval with deep-learning based semantic search, question answering, and abstractive summarization. [PDF]

NPJ Digit Med, 2021
Esteva A, Kale A, Paulus R, Hashimoto K, Yin W, Radev D, Socher R.   +6 more
europepmc   +1 more source

Analyzing Multi-Task Learning for Abstractive Text Summarization [PDF]

, 2022
Frederic Kirstein, Jan Philip Wahle, Terry Ruas, Béla Gipp   +3 more
openalex   +1 more source

Toward abstractive text summarization

, 2019
Automatic text summarization is the process of automatically creating a compressed version of a given text. Content reduction can be addressed by extraction or abstraction. Extractive methods select a subset of most salient parts of the source text for inclusion in the summary.
openaire   +2 more sources

Bi-STAB: Enhanced abstractive text summarization model using hybridized deep learning network

Acta Scientiarum: Technology
ive text summarization is based on Sequence-to-Sequence architecture which is developed to capture syntactic and contextual information between words.
Vanathi Dhinakaran, Abdullah Baihan, Ahmed Alhussen, Radhakrishnan Paramasivan   +3 more
doaj   +1 more source

Selective and Coverage Multi-head Attention for Abstractive Summarization [PDF]

, 2020
Xuwen Zhang, Gongshen Liu
openalex   +1 more source

GUMSum: Multi-Genre Data and Evaluation for English Abstractive Summarization [PDF]

, 2023
Yang Janet Liu, Amir Zeldes
openalex   +1 more source

Unsupervised Class-Specific Abstractive Summarization of Customer Reviews [PDF]

, 2021
Thi Nhat Anh Nguyen, Mingwei Shen, Karen Hovsepian   +2 more
openalex   +1 more source