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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
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
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
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
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
Keyphrase Generation Based on Deep Seq2seq Model
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IEEE ACCESS 2018年 6卷 46047-46057页
作者: Zhang, Yong Xiao, Weidong Natl Univ Def Technol Sci & Technol Informat Syst Engn Lab Changsha 410073 Hunan Peoples R China
Keyphrase can provide highly summative information which can help us improve information utilization efficiency in the era of information overload. Though previous researches about keyphrase generation have provided s... 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
Entity Highlight Generation as Statistical and Neural Machine Translation
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IEEE-ACM TRANSACTIONS ON AUDIO SPEECH AND LANGUAGE PROCESSING 2018年 第10期26卷 1860-1872页
作者: Huang, Jizhou Sun, Yaming Zhang, Wei Wang, Haifeng Liu, Ting Harbin Inst Technol Res Ctr Social Comp & Informat Retrieval Harbin 150001 Heilongjiang Peoples R China Baidu Inc Beijing 100094 Peoples R China
Entity highlight refers to a short, concise, and characteristic description for an entity, which can be applied to various applications. In this article, we study the problem of automatically generating entity highlig... 详细信息
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