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检索条件"主题词=Query-oriented summarization"
10 条 记 录,以下是1-10 订阅
A multi-objective memetic algorithm for query-oriented text summarization: Medicine texts as a case study
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EXPERT SYSTEMS WITH APPLICATIONS 2022年 第0期198卷 1页
作者: Sanchez-Gomez, Jesus M. Vega-Rodriguez, Miguel A. Perez, Carlos J. Univ Extremadura Dept Tecnol Computadores & Comunicac Campus Univ S-N Caceres 10003 Spain Univ Extremadura Dept Matemat Campus Univ S-N Caceres 10003 Spain
Automatic text summarization is a topic of great interest in many fields of knowledge. Particularly, query oriented extractive multi-document text summarization methods have increased their importance recently, since ... 详细信息
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query-oriented Text summarization using Sentence Extraction Technique  4
Query-oriented Text Summarization using Sentence Extraction ...
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4th International Conference on Web Research (ICWR)
作者: Afsharizadeh, Mahsa Ebrahimpour-Komleh, Hossein Bagheri, Ayoub Univ Kashan Fac Engn Kashan Iran
Today there is a huge amount of information from a lot of various resources such as World Wide Web, news articles, e-books and emails. On the one hand, human beings face a shortage of time, and on the other hand, due ... 详细信息
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Exploring hypergraph-based semi-supervised ranking for query-oriented summarization
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INFORMATION SCIENCES 2013年 237卷 271-286页
作者: Wang, Wei Li, Sujian Li, Jiwei Li, Wenjie Wei, Furu Peking Univ Key Lab Computat Linguist Minist Educ Beijing 100871 Peoples R China Hong Kong Polytech Univ Dept Comp Hong Kong Hong Kong Peoples R China Microsoft Res Asia Nat Language Comp Grp Beijing Peoples R China
Traditional graph based sentence ranking algorithms such as LexRank and HITS model the documents to be summarized as a text graph where nodes represent sentences and edges represent pairwise relations. Such modeling c... 详细信息
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Text summarization using unsupervised deep learning
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EXPERT SYSTEMS WITH APPLICATIONS 2017年 68卷 93-105页
作者: Yousefi-Azar, Mahmood Hamey, Len Macquarie Univ Fac Sci & Engn Dept Comp Sydney NSW Australia
We present methods of extractive query-oriented single-document summarization using a deep auto encoder (AE) to compute a feature space from the term-frequency (tf) input. Our experiments explore both local and global... 详细信息
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Aligning Gaussian-Topic with Embedding Network for summarization Ranking  1st
Aligning Gaussian-Topic with Embedding Network for Summariza...
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1st Joint International Conference on APWeb-WAIM
作者: Wei, Linjing Huang, Heyan Gao, Yang Wei, Xiaochi Feng, Chong Beijing Inst Technol Beijing Peoples R China Beijing Inst Technol Beijing Engn Res Ctr High Volume Language Informa Beijing Peoples R China Capital Normal Univ Beijing Adv Innovat Ctr Imaging Technol Beijing 100048 Peoples R China
query-oriented summarization addresses the problem of information overload and help people get the main ideas within a short time. Summaries are composed by sentences. So, the basic idea of composing a salient summary... 详细信息
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query-oriented unsupervised multi-document summarization via deep learning model
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EXPERT SYSTEMS WITH APPLICATIONS 2015年 第21期42卷 8146-8155页
作者: Zhong, Sheng-hua Liu, Yan Li, Bin Long, Jing Shen Zhen Univ Coll Comp Sci & Software Engn Shenzhen 518060 Guangdong Peoples R China Hong Kong Polytech Univ Dept Comp Kowloon 999077 Hong Kong Peoples R China City Univ Hong Kong Dept Linguist & Translat Kowloon 999077 Hong Kong Peoples R China Nanjing Univ Sch Business Nanjing 210093 Jiangsu Peoples R China
Capturing the compositional process from words to documents is a key challenge in natural language processing and information retrieval: Extractive style query-oriented multi-document summarization generates a summary... 详细信息
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query-oriented summarization Based on Neighborhood Graph Model
Query-Oriented Summarization Based on Neighborhood Graph Mod...
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22nd International Conference on Computer Processing of Oriental Languages
作者: Wei, Furu He, Yanxiang Li, Wenjie Huang, Lei Wuhan Univ Dept Comp Sci & Technol Wuhan Peoples R China Hong Kong Polytech Univ Dept Comp Hong Kong Peoples R China
In this paper, we investigate how to combine the link-aware and link-free information in sentence ranking for query-oriented summarization. Although the link structure has been emphasized in the existing graph-based s... 详细信息
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Exploiting the Role of Named Entities in query-oriented Document summarization
Exploiting the Role of Named Entities in Query-Oriented Docu...
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10th Pacific Rim International Conference on Artificial Intelligence (PRICAI 2008)
作者: Li, Wenjie Wei, Furu You, Ouyang Lu, Qin He, Yanxiang Hong Kong Polytech Univ Dept Comp Hong Kong Hong Kong Peoples R China Wuhan Univ Dept Comp Sci & Technol Hubei Peoples R China
In this paper, we exploit the role of named entities in measuring document/query sentence relevance in query-oriented extractive summarization. Named entity driven associations are defined as the informative, semantic... 详细信息
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A document-sensitive graph model for multi-document summarization
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KNOWLEDGE AND INFORMATION SYSTEMS 2010年 第2期22卷 245-259页
作者: Wei, Furu Li, Wenjie Lu, Qin He, Yanxiang Hong Kong Polytech Univ Dept Comp Kowloon Hong Kong Peoples R China Wuhan Univ Dept Comp Sci & Technol Wuhan 430072 Peoples R China
In recent years, graph-based models and ranking algorithms have drawn considerable attention from the extractive document summarization community. Most existing approaches take into account sentence-level relations (e... 详细信息
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A cluster-sensitive graph model for query-oriented multi-document summarization
A cluster-sensitive graph model for query-oriented multi-doc...
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30th European Conference on Information Retrieval (ECIR 2008)
作者: Wei, Furu Li, Wenjie Lu, Qin He, Yanxiang Wuhan Univ Dept Comp Sci & Technol Wuhan 430072 Peoples R China Hong Kong Polytech Univ Dept Comp Kings Park Peoples R China
In this paper, we develop a novel cluster-sensitive graph model for query-oriented multi-document summarization. Upon it, an iterative algorithm, namely QoCsR, is built. As there is existence of natural clusters in th... 详细信息
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