Results 61 to 70 of about 9,383 (202)

Japanese Abstractive Text Summarization using BERT

Advances in Science, Technology and Engineering Systems Journal, 2019
In this study, we developed an automatic abstractive text summarization algorithm in Japanese using a neural network. We used a sequence-to-sequence encoder-decoder model for experimentation purposes. The encoder obtained a feature-based input vector of sentences using BERT.
Yuuki Iwasaki, Akihiro Yamashita, Yoko Konno, Katsushi Matsubayashi   +3 more
openaire   +1 more source

A Comprehensive Evaluation of Large Language Models for Turkish Abstractive Dialogue Summarization

IEEE Access
Text summarization is the task of generating a short and concise summary of a source text. In an abstractive text summarization, the generated summaries may potentially contain new phrases that do not appear in the source text.
Osman Buyuk
doaj   +1 more source

Entity-driven Fact-aware Abstractive Summarization of Biomedical Literature [PDF]

, 2022
Amanuel Alambo, Tanvi Banerjee, Krishnaprasad Thirunarayan, Michael G. Raymer   +3 more
openalex   +1 more source

Summary-Sentence Level Hierarchical Supervision for Re-Ranking Model of Two-Stage Abstractive Summarization Framework

Mathematics
Fine-tuning a pre-trained sequence-to-sequence-based language model has significantly advanced the field of abstractive summarization. However, the early models of abstractive summarization were limited by the gap between training and inference, and they
Eunseok Yoo, Gyunyeop Kim, Sangwoo Kang
doaj   +1 more source

Self-Supervised and Controlled Multi-Document Opinion Summarization

, 2020
We address the problem of unsupervised abstractive summarization of collections of user generated reviews with self-supervision and control. We propose a self-supervised setup that considers an individual document as a target summary for a set of similar
Coavoux, Maximin, Elsahar, Hady, Gallé, Matthias, Rozen, Jos   +3 more
core  

Leveraging Faithfulness in Abstractive Text Summarization with Elementary Discourse Units

Proceedings of the International Florida Artificial Intelligence Research Society Conference
ive text summarization uses the summarizer's own words to capture the main information of a source document in a summary. While it is more challenging to automate than extractive text summarization, recent advancements in deep learning approaches and pre-
Narjes Delpisheh, Yllias Chali
doaj   +1 more source

Abstraction Based Text Summarization

International Journal of Advanced Research in Science, Communication and Technology
The goal of the summary of text is highlighting important details from the textual original. During this procedure, the user is given a succinct overview of the retrieved data as a condensed report. The text's substance is extremely challenging for people to comprehend and decipher. An extensive examination of abstractive text summarizing techniques is
null Dr. Nagabhushan S V, null Jeevitha M, null Manoj Kumar, null Archana S, null Likitha Naveen   +4 more
openaire   +1 more source

Domain Adaptation with Pre-trained Transformers for Query-Focused Abstractive Text Summarization

Computational Linguistics, 2022
The Query-Focused Text Summarization (QFTS) task aims at building systems that generate the summary of the text document(s) based on the given query. A key challenge in addressing this task is the lack of large labeled data for training the summarization
Md Tahmid Rahman Laskar, Enamul Hoque, Jimmy Xiangji Huang   +2 more
doaj   +1 more source

A Systematic Review and Experimental Evaluation of Classical and Transformer-Based Models for Urdu Abstractive Text Summarization

Information
The rapid growth of digital content in Urdu has created an urgent need for effective automatic text summarization (ATS) systems. While extractive methods have been widely studied, abstractive summarization for Urdu remains largely unexplored due to the ...
Muhammad Azhar, Adeen Amjad, Deshinta Arrova Dewi, Shahreen Kasim   +3 more
doaj   +1 more source

Text Summarization using different Methods for Deep Learning [PDF]

BIO Web of Conferences
In the current era of rapid information expansion, text summarization has become vital for comprehending textual material. Physically condensing large textual volumes is challenging for humans, especially considering the vast amount of text content ...
Shaker Fatima, Abd Zaid Mustafa M., Ali Talib Al-Khazaali Ahmed, Ali Al-Khzaali Zahraa   +3 more
doaj   +1 more source