Results 51 to 60 of about 4,298,648 (328)
Multidocument Summarization via Information Extraction [PDF]
Proceedings of the first international conference on Human language technology research - HLT '01, 2001 We present and evaluate the initial version of RIPTIDES, a system that combines information extraction, extraction-based summarization, and natural language generation to support user-directed multidocument summarization.
Kiri Wagstaff +5 more
openaire +3 more sources
EXABSUM: a new text summarization approach for generating extractive and abstractive summaries
Journal of Big Data, 2023 Due to the exponential growth of online information, the ability to efficiently extract the most informative content and target specific information without extensive reading is becoming increasingly valuable to readers.
Zakariae Alami Merrouni +2 more
doaj +1 more source
Frontiers in Biomedical Technologies, 2020 Purpose: Pandemic COVID-19 has created an emergency for the medical community. Researchers require extensive study of scientific literature in order to discover drugs and vaccines.
Mahsa Afsharizadeh +2 more
doaj +1 more source
Auto-regressive extractive summarization with replacement
World wide web (Bussum), 2022 Auto-regressive extractive summarization approaches determine sentence extraction probability conditioning on previous decisions by maintaining a partial summary representation. Despite its popularity, the framework has two main drawbacks: 1) the partial
Tianyu Zhu +4 more
semanticscholar +1 more source
Extractive Summarization of Long Documents by Combining Global and Local Context [PDF]
Conference on Empirical Methods in Natural Language Processing, 2019 In this paper, we propose a novel neural single-document extractive summarization model for long documents, incorporating both the global context of the whole document and the local context within the current topic.
Wen Xiao, G. Carenini
semanticscholar +1 more source
Annual Meeting of the Association for Computational Linguistics, 2021 We pioneer the first extractive summarization-based collaborative filtering model called ESCOFILT. Our proposed model specifically produces extractive summaries for each item and user.
R. A. Pugoy, Hung-Yu kao
semanticscholar +1 more source
CINOSUM:An Extractive Summarization Model for Low-resource Multi-ethnic Language [PDF]
Jisuanji kexueTo address the issue of existing models being unable to handle abstractive summarization for low-resource multilingual languages,this paper proposes an extractive summarization model,CINOSUM,based on CINO(a Chinese minority pre-trained language model).We
WENG Yu, LUO Haoyu, Chaomurilige, LIU Xuan , DONG Jun, LIU Zheng
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Conference of the European Chapter of the Association for Computational Linguistics, 2021 Modeling the relations between text spans in a document is a crucial yet challenging problem for extractive summarization. Various kinds of relations exist among text spans of different granularity, such as discourse relations between elementary ...
Yin Jou Huang, S. Kurohashi
semanticscholar +1 more source
IEEE AccessSummarizing biomedical literature has become an important tool for researchers and healthcare professionals by increasing the speed of access to information.
Tugba Celikten, Aytug Onan
doaj +1 more source
Text Summarization using different Methods for Deep Learning [PDF]
BIO Web of ConferencesIn 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 +3 more
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