A comprehensive survey on process-oriented automatic text summarization with exploration of llm-based methods
H Jin, Y Zhang, D Meng, J Wang, J Tan - arXiv preprint arXiv:2403.02901, 2024 - arxiv.org
Automatic Text Summarization (ATS), utilizing Natural Language Processing (NLP)
algorithms, aims to create concise and accurate summaries, thereby significantly reducing …
algorithms, aims to create concise and accurate summaries, thereby significantly reducing …
Breaking news: Unveiling a new dataset for Portuguese news classification and comparative analysis of approaches
K Garcia, P Shiguihara, L Berton - Plos one, 2024 - journals.plos.org
Every day thousands of news are published on the web and filtering tools can be used to
extract knowledge on specific topics. The categorization of news into a predefined set of …
extract knowledge on specific topics. The categorization of news into a predefined set of …
Gae-isumm: Unsupervised graph-based summarization for indian languages
LS Vakada, A Ch, M Marreddy… - … Joint Conference on …, 2023 - ieeexplore.ieee.org
Document summarization aims to create a precise and coherent summary of a text
document. Many deep learning summarization models are developed mainly for English …
document. Many deep learning summarization models are developed mainly for English …
Query-Based Summarization and Sentiment Analysis for Indian Financial Text by leveraging Dense Passage Retriever, RoBERTa, and FinBERT
S Numair, P Jayesh, S Sheetal - Proceedings of the 20th …, 2023 - aclanthology.org
With the ever-expanding pool of information accessible on the Internet, it has become
increasingly challenging for readers to sift through voluminous data and derive meaningful …
increasingly challenging for readers to sift through voluminous data and derive meaningful …