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检索条件"主题词=coverage mechanism"
17 条 记 录,以下是1-10 订阅
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Masked Hard coverage mechanism on Pointer-generator Network for Natural Language Generation  13
Masked Hard Coverage Mechanism on Pointer-generator Network ...
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13th International Conference on Agents and Artificial Intelligence (ICAART)
作者: Hu, Ting Meinel, Christoph Potsdam Univ Hasso Plattner Inst Potsdam Germany
Natural Language Generation (NLG) task is to generate natural language utterances from structured data. Seq2seq-based systems show great potentiality and have been widely explored for NLG. While they achieve good gene... 详细信息
来源: 评论
Extractive-abstractive summarization with pointer and coverage mechanism  18
Extractive-abstractive summarization with pointer and covera...
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2018 International Conference on Big Data Technologies, ICBDT 2018 and its Workshop, 2018 2nd International Conference on Business Information Systems, ICBIS 2018
作者: Zhang, Yong Chen, Erdan Xiao, Weidong System Engineering College National University of Defense Technology Changsha China
Neural sequence-to-sequence models have provided a viable new approach for abstractive text summarization. However, they are facing the challenges of low efficiency and accuracy when dealing with long text: their capa... 详细信息
来源: 评论
Enhancing Abstractive Summarization with Pointer Generator Networks and coverage mechanisms in NLP
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IRANIAN JOURNAL OF SCIENCE AND TECHNOLOGY-TRANSACTIONS OF ELECTRICAL ENGINEERING 2024年 第3期48卷 1301-1311页
作者: Yarlagadda, Madhulika Nadendla, Hanumantha Rao MVSR Engn Coll CSE Dept Hyderabad Telangana India CVR Coll Engn Dept CSE AIML Hyderabad Telangana India
The Abstractive summarization strategies have demonstrated potential for crafting summaries that are both credible to readers and relevant to the given situation. This work introduces a more effective technique for ab... 详细信息
来源: 评论
Multi-document hybrid text summarization with bi-LSTM RNN for Telugu language
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SADHANA-ACADEMY PROCEEDINGS IN ENGINEERING SCIENCES 2024年 第2期49卷 1-12页
作者: Babu, G. L. Anand Badugu, Srinivasu Anurag Univ Dept Informat Technol Hyderabad 500088 Telangana India Stanley Coll Engn & Technol Women Dept Comp Sci & Engn Hyderabad 500001 Telangana India
One of the most popular south Indian languages in India is the Telugu language which is currently spoken by 84 million native Telugu speakers in Andhra Pradesh and Telangana. With the rapid growth of the Telugu digita... 详细信息
来源: 评论
Deep learning based sequence to sequence model for abstractive telugu text summarization
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MULTIMEDIA TOOLS AND APPLICATIONS 2023年 第11期82卷 17075-17096页
作者: Babu, G. L. Anand Badugu, Srinivasu Osmania Univ Univ Coll Engn Hyderabad India Stanley Coll Engn & Technol Women Dept CSE Hyderabad India
With the emergence of deep learning, the attention of researchers has increased significantly towards abstractive text summarization approaches. Though extractive text summarization (ETS) is an important approach, the... 详细信息
来源: 评论
Novel multi‐domain attention for abstractive summarisation
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CAAI Transactions on Intelligence Technology 2023年 第3期8卷 796-806页
作者: Chunxia Qu Ling Lu Aijuan Wang Wu Yang Yinong Chen College of Computer Science and Engineering Chongqing University of TechnologyChongqingChina School of Computing and Augmented Intelligence Arizona State UniversityTempeArizonaUSA
The existing abstractive text summarisation models only consider the word sequence correlations between the source document and the reference summary,and the summary generated by models lacks the cover of the subject ... 详细信息
来源: 评论
Improving Text Summarization Using Feature Extraction Approach Based on Pointer-generator with coverage  1
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18th Web Information Systems and Applications Conference (WISA)
作者: Chen, Yongchao He, Xin Wang, Guanghui Yu, Junyang Henan Prov Engn Res Ctr Intelligent Data Proc Kaifeng Peoples R China Henan Univ Henan Int Joint Lab Intelligent Network Theory & Kaifeng Peoples R China
The sequence-to-sequence models have been widely used in the abstractive summarization tasks. However, the existing models have inaccuracy issues due to the insufficient understanding of overall semantics, the emergen... 详细信息
来源: 评论
A Data-to-Text Generation Model with Deduplicated Content Planning  1
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10th CCF Big Data Conference (BigData)
作者: Wang, Mengda Cao, Jianjun Yu, Xu Nie, Zibo Nanjing Univ Informat Sci & Technol Sch Comp Sci Nanjing Peoples R China Natl Univ Def Technol Res Inst 63 Nanjing Peoples R China
Texts generated in data-to-text generation tasks often have repetitive parts. In order to get higher quality generated texts, we choose a data-to-text generation model with content planning, and add coverage mechanism... 详细信息
来源: 评论
Improving paragraph-level question generation with extended answer network and uncertainty-aware beam search
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INFORMATION SCIENCES 2021年 571卷 50-64页
作者: Zeng, Hongwei Zhi, Zhuo Liu, Jun Wei, Bifan Xi An Jiao Tong Univ Sch Comp Sci & Technol Xian 710049 Shaanxi Peoples R China Xi An Jiao Tong Univ Natl Engn Lab Big Data Analyt Xian 710049 Shaanxi Peoples R China Xi An Jiao Tong Univ Sch Elect Engn Xian 710049 Shaanxi Peoples R China Xi An Jiao Tong Univ Sch Continuing Educ Xian 710049 Shaanxi Peoples R China
Question Generation (QG), which aims to generate a question given the relevant context, is essential to build conversational and question-answering systems. Existing neural question generation models suffer from the i... 详细信息
来源: 评论
Enhancements of Attention-Based Bidirectional LSTM for Hybrid Automatic Text Summarization
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IEEE ACCESS 2021年 9卷 123660-123671页
作者: Jiang, Jiawen Zhang, Haiyang Dai, Chenxu Zhao, Qingjuan Feng, Hao Ji, Zhanlin Ganchev, Ivan North China Univ Sci & Technol Coll Artificial Intelligence Dept Comp Sci Tangshan 063009 Peoples R China Univ Sheffield Dept Comp Sci Sheffield S10 2TN S Yorkshire England Beihang Univ Dept Comp Sci & Engn Beijing 100191 Peoples R China Univ Limerick Telecommun Res Ctr TRC Limerick V94 T9PX Ireland Plovdiv Univ Paisii Hilendarski Dept Comp Syst Plovdiv 4000 Bulgaria Bulgarian Acad Sci BAS Inst Math & Informat IMI Sofia 1040 Bulgaria
The automatic generation of a text summary is a task of generating a short summary for a relatively long text document by capturing its key information. In the past, supervised statistical machine learning was widely ... 详细信息
来源: 评论