Results 71 to 80 of about 9,383 (202)

CQSumDP: A ChatGPT-Annotated Resource for Query-Focused Abstractive Summarization Based on Debatepedia [PDF]

, 2023
Md Tahmid Rahman Laskar, Mizanur Rahman, Israt Jahan, Enamul Hoque, Jimmy Xiangji Huang   +4 more
openalex   +1 more source

Performance of Machine Learning Algorithms on Automatic Summarization of Indonesian Language Texts

JOIN: Jurnal Online Informatika
Automatic text summarization (ATS) has become an essential task for processing huge amounts of information efficiently. ATS has been extensively studied in resource-rich languages like English, but research on summarization for under-resourced languages,
Galih Wiratmoko, Husni Thamrin, Endang Wahyu Pamungkas   +2 more
doaj   +1 more source

Abstractive summarization of hospitalisation histories with transformer networks [PDF]

, 2022
Alexander Yalunin, Dmitriy Umerenkov, Vladimir Kokh   +2 more
openalex   +1 more source

Efficient Transformer-Based Abstractive Urdu Text Summarization Through Selective Attention Pruning

Information
In today’s data-driven world, automatic text summarization is essential for extracting insights from large data volumes. While extractive summarization is well-studied, abstractive summarization remains limited, especially for low-resource languages like
Muhammad Azhar, Adeen Amjad, Ghulam Farid, Deshinta Arrova Dewi, Malathy Batumalay   +4 more
doaj   +1 more source

R-TeaFor: Regularized Teacher-Forcing for Abstractive Summarization [PDF]

, 2022
Guanyu Lin, Pu‐Jen Cheng
openalex   +1 more source

Survey of Deep Learning Based Extractive Summarization [PDF]

Jisuanji kexue yu tansuo
Automatic text summarization (ATS) is a popular research direction in natural language processing, and its main implementation methods are divided into two categories: extractive and abstractive. Extractive summarization directly uses the text content in
TIAN Xuan, LI Jialiang, MENG Xiaohuan
doaj   +1 more source

Abstractive Text Summarization for Resumes With Cutting Edge NLP Transformers and LSTM [PDF]

, 2023
Öykü Berfin Mercan, Sena Nur Cavsak, Aysu Deliahmetoglu, Senem Tanberk   +3 more
openalex   +1 more source

BioMDSum: An Effective Hybrid Biomedical Multi-Document Summarization Method Based on PageRank and Longformer Encoder-Decoder

IEEE Access
Biomedical multi-document summarization (BioMDSum) involves automatically generating concise and informative summaries from collections of related biomedical documents.
Azzedine Aftiss, Salima Lamsiyah, Said Ouatik El Alaoui, Christoph Schommer   +3 more
doaj   +1 more source

WSL-DS: Weakly Supervised Learning with Distant Supervision for Query Focused Multi-Document Abstractive Summarization [PDF]

, 2020
Tahmid Rahman Laskar, Enamul Hoque, Jimmy Xiangji Huang   +2 more
openalex   +1 more source

Investigating the Pre-Training Bias in Low-Resource Abstractive Summarization

IEEE Access
Recent advances in low-resource abstractive summarization were largely made through the adoption of specialized pre-training, pseudo-summarization, that integrates the content selection knowledge through various centrality-based sentence recovery tasks ...
Daniil Chernyshev, Boris Dobrov
doaj   +1 more source