Results 21 to 30 of about 234 (196)
Jurnal Teknologi Informasi dan Ilmu Komputer, 2018 Peringkasan merupakan salah satu bagian dari perolehan informasi yang bertujuan untuk mendapatkan informasi secara cepat dan efisien dengan membuat intisari dari suatu dokumen.
Muhamad Mustamiin +2 more
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Cover Coefficient-Based Multi-document Summarization [PDF]
, 2009 In this paper we present a generic, language independent multi-document summarization system forming extracts using the cover coefficient concept. Cover Coefficient-based Summarizer (CCS) uses similarity between sentences to determine representative sentences.
Ercan, Gönenç, Can, Fazlı
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Multi-Document Summarization using CS-ABC Optimization Algorithm
EAI Endorsed Transactions on Energy Web, 2020 In revolve handle to the information excess, the dramatic boost up documents, on the WWW, show the way of the accessibility of various credentials through the equal subject with conception.
K. Chandra Kumar, Sudhakar Nagalla
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Multi-document video summarization
2009 IEEE International Conference on Multimedia and Expo, 2009 Most previous works on video summarization target on a single video document. With the popularity of video corpus (e.g. news video archives) and web videos, video article that consists of a set of relevant videos are frequently confronted by users. By the traditional single-document summarization, these videos are treated independently and the results ...
Feng Wang, Bernard Merialdo
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The Design of Automatic Summarization of Indonesian Texts Using a Hybrid Approach
Jurnal Teknologi Informasi dan Pendidikan, 2022 This study aims to design a model for automatic text summarization in Indonesian. Automatic text summarization is a system that reduces the number of sentences without losing important information in the document.
Kania Evita Dewi +1 more
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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 +2 more
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Evaluating a typology of signals for automatic detection of complementarity
Domínios de Lingu@gem, 2022 In a cluster of news texts on the same event, two sentences from different documents might express different multi-document phenomena (redundancy, complementarity, and contradiction).
Jackson Wilke da Cruz Souza +1 more
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Multi-granularity adaptive extractive document summarization with heterogeneous graph neural networks [PDF]
PeerJ Computer Science, 2023 The crucial aspect of extractive document summarization lies in understanding the interrelations between sentences. Documents inherently comprise a multitude of sentences, and sentence-level models frequently fail to consider the relationships between ...
Wu Su, Jin Jiang, Kaihui Huang
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Extractive Document Summarization Based on Dynamic Feature Space Mapping
IEEE Access, 2020 The exponential growth of the Web documents has constituted the need for automatic document summarization. In this context, extractive document summarization, i.e., that task of extracting the most relevant information, removing redundancy and presenting
Samira Ghodratnama +3 more
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Multi-topic multi-document summarization [PDF]
Proceedings of the 18th conference on Computational linguistics -, 2000 Summarization of multiple documents featuring multiple topics is discussed. The example treated here consists of fifty articles about the Peru hostage incident for December 1996 through April 1997. They include a lot of topics such as opening, negotiation, ending, and so on.
Utiyama Masao, Hasida Kôiti
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