Results 1 to 10 of about 3,357,090 (344)
Extractive Text Summarization using Recurrent Neural Networks with Attention Mechanism
Shimirwa Aline Valerie, Jian Xu
openalex +1 more source
End to End Urdu Abstractive Text Summarization With Dataset and Improvement in Evaluation Metric
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
FrameSum: Leveraging Framing Theory and Deep Learning for Enhanced News Text Summarization
Framing theory is a widely accepted theoretical framework in the field of news communication studies, frequently employed to analyze the content of news reports.
Xin Zhang +4 more
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Knowledge Base Driven Automatic Text Summarization using Multi-objective Optimization [PDF]
Chihoon Jung +3 more
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Biogeography-Based Optimization Algorithm for Automatic Extractive Text Summarization
Given the increasing number of documents, sites, online sources, and the users’ desire to quickly access information, automatic textual summarization has caught the attention of many researchers in this field.
Hossein MirShojaee +2 more
doaj
SCaLAR NITK at SemEval-2024 Task 5: Towards Unsupervised Question Answering system with Multi-level Summarization for Legal Text [PDF]
Manvith Prabhu +2 more
openalex +1 more source
Personalized Multi-document Text Summarization using Deep Learning Techniques
K. Veningston +2 more
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Analyzing Multi-Task Learning for Abstractive Text Summarization [PDF]
Frederic Kirstein +3 more
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Online news Articles have made it easier to read news on the go. However, summaries allow people to easily understand the contents of news article quickly. Providing brief summary or an excerpt allows readers to know what to expect from the news articles. With the headline, it would be convenient for the reader to read a brief about the article too.
Sakshi Sankhe - +3 more
openaire +1 more source

