Results 11 to 20 of about 156,586 (309)
Applied SciencesIn a multi-document summarization task, if the user can decide on the summary topic, the generated summary can better align with the reader’s specific needs and preferences.
Xin Zhang +3 more
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Extractive Multi-document Summarization Using Multilayer Networks [PDF]
Physica A: Statistical Mechanics and its Applications, 2017 Huge volumes of textual information has been produced every single day. In order to organize and understand such large datasets, in recent years, summarization techniques have become popular.
Amancio, Diego R., Tohalino, Jorge V.
core +2 more sources
A survey for multi-document summarization [PDF]
Proceedings of the HLT-NAACL 03 on Text summarization workshop -, 2003 Automatic Multi-Document summarization is still hard to realize. Under such circumstances, we believe, it is important to observe how humans are doing the same task, and look around for different strategies.We prepared 100 document sets similar to the ones used in the DUC multi-document summarization task. For each document set, several people prepared
Satoshi Sekine, Chikashi Nobata
openalex +4 more sources
A Multi-Document Coverage Reward for RELAXed Multi-Document Summarization
Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2022 Accepted to ACL ...
Parnell, Jacob +2 more
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Multi-Document Summarization: A Comparative Evaluation
2023 IEEE 17th International Conference on Industrial and Information Systems (ICIIS), 2023 This paper is aimed at evaluating state-of-the-art models for Multi-document Summarization (MDS) on different types of datasets in various domains and investigating the limitations of existing models to determine future research directions. To address this gap, we conducted an extensive literature review to identify state-of-the-art models and datasets.
Hewapathirana, Kushan +2 more
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How “Multi” is Multi-Document Summarization?
Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, 2022 The task of multi-document summarization (MDS) aims at models that, given multiple documents as input, are able to generate a summary that combines disperse information, originally spread across these documents. Accordingly, it is expected that both reference summaries in MDS datasets, as well as system summaries, would indeed be based on such ...
Wolhandler, Ruben +3 more
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Preference-based interactive multi-document summarisation [PDF]
Information Retrieval Journal, 2019 AbstractInteractive NLP is a promising paradigm to close the gap between automatic NLP systems and the human upper bound. Preference-based interactive learning has been successfully applied, but the existing methods require several thousand interaction rounds even in simulations with perfect user feedback.
Yang Gao +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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Legal document similarity: a multi-criteria decision-making perspective [PDF]
PeerJ Computer Science, 2020 The vast volume of documents available in legal databases demands effective information retrieval approaches which take into consideration the intricacies of the legal domain. Relevant document retrieval is the backbone of the legal domain.
Rupali S. Wagh, Deepa Anand
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Contrastive Multi-document Question Generation [PDF]
Proceedings of the 16th Conference of the European Chapter of the Association for Computational Linguistics: Main Volume, 2021 Multi-document question generation focuses on generating a question that covers the common aspect of multiple documents. Such a model is useful in generating clarifying options. However, a naive model trained only using the targeted ("positive") document set may generate too generic questions that cover a larger scope than delineated by the document ...
Cho, Woon Sang +7 more
openaire +2 more sources