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Abstractive Text Summarization

2022
The objective of this project is to imitate the fundamental concepts of this research of state-of-the-art abstract text repeated models to examine various processes until the work had a reasonable functional basis. This work was motivated by various research papers with several novel features that have achieved remarkable achievement.
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Abstractive Summarizers are Excellent Extractive Summarizers

Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 2: Short Papers), 2023
Daniel Varab, Yumo Xu
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Survey on Abstractive Text Summarization

2018 International Conference on Communication and Signal Processing (ICCSP), 2018
This paper provides a review on some of the significant research work done on abstractive text summarization. The process of generating the summary from one or more text corpus, by keeping the key points in the corpus is called text summarization. The most prominent technique in text summarization is an abstractive and extractive method. The extractive
Nithin Raphal   +2 more
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Automatic Abstracting and Summarization

2017
After lying dormant for a few decades, the field of automated text summarization has experienced a tremendous resurgence of interest. Recently, many new algorithms and techniques have been proposed for identifying important information in single documents and document collections, and for mapping this information into grammatical, cohesive, and ...
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Abstractive Text Summarization Using Hybrid Technique of Summarization

2022 14th International Conference on Communication Software and Networks (ICCSN), 2022
Muhammad Irfan Liaqat   +3 more
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Loop Summarization Using Abstract Transformers

2008
Existing program analysis tools that implement abstraction rely on saturating procedures to compute over-approximations of fixpoints. As an alternative, we propose a new algorithm to compute an over-approximation of the set of reachable states of a program by replacing loops in the control flow graph by their abstract transformer. Our technique is able
Daniel Kroening   +4 more
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Abstractive Summarization of

Proceedings of the 2019 Conference of the North, 2019
Byeongchang Kim, Hyunwoo Kim, Gunhee Kim
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Abstractive Text Summarization

Journal of Xidian University, 2020
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Ultra-summarization (poster abstract)

Proceedings of the 22nd annual international ACM SIGIR conference on Research and development in information retrieval, 1999
Michael J. Witbrock, Vibhu O. Mittal
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PhraseSumm: Abstractive Short Phrase Summarization

Findings of the Association for Computational Linguistics: IJCNLP-AACL 2023 (Findings), 2023
Kasturi Bhattacharjee   +2 more
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