Quantifying the informativeness for biomedical literature summarization: An itemset mining method
暂无分享,去创建一个
[1] Steven Bird,et al. NLTK: The Natural Language Toolkit , 2002, ACL 2006.
[2] David Camacho,et al. Combining graph connectivity and genetic clustering to improve biomedical summarization , 2014, 2014 IEEE Congress on Evolutionary Computation (CEC).
[3] Jilles Vreeken,et al. Tell me what i need to know: succinctly summarizing data with itemsets , 2011, KDD.
[4] Lucas Antiqueira,et al. A complex network approach to text summarization , 2009, Inf. Sci..
[5] Sanda M. Harabagiu,et al. Using topic themes for multi-document summarization , 2010, TOIS.
[6] Hyoil Han,et al. BioChain: lexical chaining methods for biomedical text summarization , 2006, SAC.
[7] Wei-Pang Yang,et al. Text summarization using a trainable summarizer and latent semantic analysis , 2005, Inf. Process. Manag..
[8] Elizabeth León Guzman,et al. Extractive single-document summarization based on genetic operators and guided local search , 2014, Expert Syst. Appl..
[9] Mark Stevenson,et al. Resolving ambiguity in biomedical text to improve summarization , 2012, Inf. Process. Manag..
[10] Laura Plaza. Comparing different knowledge sources for the automatic summarization of biomedical literature , 2014, J. Biomed. Informatics.
[11] Das Amrita,et al. Mining Association Rules between Sets of Items in Large Databases , 2013 .
[12] C. Ordonez,et al. Constraining and summarizing association rules in medical data , 2006 .
[13] Gurpreet Singh Lehal,et al. A Survey of Text Summarization Extractive Techniques , 2010 .
[14] D. Lindberg,et al. The Unified Medical Language System , 1993, Methods of Information in Medicine.
[15] Halil Kilicoglu,et al. Word sense disambiguation by selecting the best semantic type based on Journal Descriptor Indexing: Preliminary experiment , 2006, J. Assoc. Inf. Sci. Technol..
[16] Duy Duc An Bui,et al. Extractive text summarization system to aid data extraction from full text in systematic review development , 2016, J. Biomed. Informatics.
[17] Horacio Saggion. A Robust and Adaptable Summarization Tool , 2008 .
[18] Panagiotis Stamatopoulos,et al. Summarization from Medical Documents: A Survey , 2005, Artif. Intell. Medicine.
[19] Kamal Sarkar,et al. Using Domain Knowledge for Text Summarization in Medical Domain , 2009 .
[20] Vishal Gupta,et al. Recent automatic text summarization techniques: a survey , 2016, Artificial Intelligence Review.
[21] Jorge Carrillo de Albornoz,et al. Evaluating the use of different positional strategies for sentence selection in biomedical literature summarization , 2012, BMC Bioinformatics.
[22] W. Alkema,et al. Application of text mining in the biomedical domain. , 2015, Methods.
[23] Horacio Saggion,et al. SUMMA. A Robust and Adaptable Summarization Tool , 2008, TAL.
[24] Elena Lloret,et al. Text summarisation in progress: a literature review , 2011, Artificial Intelligence Review.
[25] Chin-Yew Lin,et al. ROUGE: A Package for Automatic Evaluation of Summaries , 2004, ACL 2004.
[26] Steven Bird,et al. NLTK: The Natural Language Toolkit , 2002, ACL.
[27] Rasim M. Alguliyev,et al. Effective summarization method of text documents , 2005, The 2005 IEEE/WIC/ACM International Conference on Web Intelligence (WI'05).
[28] Chin-Yew Lin,et al. Looking for a Few Good Metrics: Automatic Summarization Evaluation - How Many Samples Are Enough? , 2004, NTCIR.
[29] Karen Sparck Jones,et al. Book Reviews: Evaluating Natural Language Processing Systems: An Analysis and Review , 1996, CL.
[30] Guilherme Del Fiol,et al. Text summarization in the biomedical domain: A systematic review of recent research , 2014, J. Biomed. Informatics.
[31] Hans Peter Luhn,et al. The Automatic Creation of Literature Abstracts , 1958, IBM J. Res. Dev..
[32] Christian Blaschke,et al. Status of text-mining techniques applied to biomedical text. , 2006, Drug discovery today.
[33] Luca Cagliero,et al. GraphSum: Discovering correlations among multiple terms for graph-based summarization , 2013, Inf. Sci..
[34] M. Owen,et al. Genetic overlap between autism, schizophrenia and bipolar disorder , 2009, Genome Medicine.
[35] Luca Cagliero,et al. Multi-document summarization exploiting frequent itemsets , 2012, SAC '12.
[36] Sun Park,et al. Automatic generic document summarization based on non-negative matrix factorization , 2009, Inf. Process. Manag..
[37] Pablo Gervás,et al. A semantic graph-based approach to biomedical summarisation , 2011, Artif. Intell. Medicine.
[38] Fuji Ren,et al. GA, MR, FFNN, PNN and GMM based models for automatic text summarization , 2009, Comput. Speech Lang..
[39] Ronen Feldman,et al. TEG—a hybrid approach to information extraction , 2005, Knowledge and Information Systems.
[40] Rasim M. Alguliyev,et al. MCMR: Maximum coverage and minimum redundant text summarization model , 2011, Expert Syst. Appl..
[41] Hyoil Han,et al. Concept frequency distribution in biomedical text summarization , 2006, CIKM '06.
[42] M. Norton. Genome Medicine: the future of medicine , 2009, Genome Medicine.
[43] Ping Chen,et al. A Query-Based Medical Information Summarization System Using Ontology Knowledge , 2006, 19th IEEE Symposium on Computer-Based Medical Systems (CBMS'06).
[44] Hyoil Han,et al. The use of domain-specific concepts in biomedical text summarization , 2007, Inf. Process. Manag..
[45] Ruslan Mitkov,et al. The Oxford handbook of computational linguistics , 2003 .
[46] Peng Shi,et al. Enhancing sentence-level clustering with ranking-based clustering framework for theme-based summarization , 2014, Inf. Sci..
[47] H. P. Edmundson,et al. New Methods in Automatic Extracting , 1969, JACM.
[48] Heikki Mannila,et al. Fast Discovery of Association Rules , 1996, Advances in Knowledge Discovery and Data Mining.
[49] ELENA BARALIS,et al. MWI-Sum: A Multilingual Summarizer Based on Frequent Weighted Itemsets , 2015, TOIS.
[50] Aytug Onan,et al. Ensemble of keyword extraction methods and classifiers in text classification , 2016, Expert Syst. Appl..
[51] Dragomir R. Radev,et al. LexRank: Graph-based Lexical Centrality as Salience in Text Summarization , 2004, J. Artif. Intell. Res..