From Extracting to Abstracting: Generating Quasi-abstractive Summaries
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[1] Daniel Marcu,et al. The automatic construction of large-scale corpora for summarization research , 1999, SIGIR '99.
[2] Pedro M. Domingos. MetaCost: a general method for making classifiers cost-sensitive , 1999, KDD '99.
[3] Rohini K. Srihari,et al. Feature selection for text categorization on imbalanced data , 2004, SKDD.
[4] Chin-Yew Lin,et al. ROUGE: A Package for Automatic Evaluation of Summaries , 2004, ACL 2004.
[5] SrihariRohini,et al. Feature selection for text categorization on imbalanced data , 2004 .
[6] Daniel Marcu,et al. Statistics-Based Summarization - Step One: Sentence Compression , 2000, AAAI/IAAI.
[7] Barbara Di Eugenio,et al. Adaptive Learning in Machine Summarization , 2006, FLAIRS Conference.
[8] Kai Ming Ting,et al. An Instance-weighting Method to Induce Cost-sensitive Trees , 2001 .
[9] Stanley Wasserman,et al. Social Network Analysis: Methods and Applications , 1994, Structural analysis in the social sciences.
[10] Christian Borgelt. A Naive Bayes Classifier Plug-In for DataEngine , 2004 .
[11] Stephen Kwek,et al. Applying Support Vector Machines to Imbalanced Datasets , 2004, ECML.
[12] Daniel Marcu,et al. Towards Developing Generation Algorithms for Text-to-Text Applications , 2005, ACL.
[13] Daniel Marcu,et al. Stochastic Language Generation Using WIDL-Expressions and its Application in Machine Translation and Summarization , 2006, ACL.
[14] Stephen Wan,et al. Global revision in summarisation : generating novel sentences with Prim's algorithm , 2007 .
[15] Regina Barzilay,et al. Sentence Fusion for Multidocument News Summarization , 2005, CL.
[16] Hoa Trang Dang,et al. Overview of DUC 2005 , 2005 .
[17] Francine Chen,et al. A trainable document summarizer , 1995, SIGIR '95.
[18] Christian M. I. M. Matthiessen,et al. Text Generation and Systemic-Functional Linguistics: Experiences from English and Japanese , 1992 .
[19] Nitesh V. Chawla,et al. SMOTE: Synthetic Minority Over-sampling Technique , 2002, J. Artif. Intell. Res..
[20] Thorsten Joachims,et al. Learning to classify text using support vector machines - methods, theory and algorithms , 2002, The Kluwer international series in engineering and computer science.
[21] Zhuli Xie. Centrality Measures in Text Mining: Prediction of Noun Phrases that Appear in Abstracts , 2005, ACL.
[22] Michele Banko,et al. Headline Generation Based on Statistical Translation , 2000, ACL.
[23] Hongyan Jing,et al. Using Hidden Markov Modeling to Decompose Human-Written Summaries , 2002, Computational Linguistics.
[24] Peter D. Turney. Types of Cost in Inductive Concept Learning , 2002, ArXiv.
[25] Salvatore Ruggieri,et al. YaDT: yet another decision tree builder , 2004, 16th IEEE International Conference on Tools with Artificial Intelligence.
[26] Nitesh V. Chawla,et al. Editorial: special issue on learning from imbalanced data sets , 2004, SKDD.
[27] Nathalie Japkowicz,et al. The Class Imbalance Problem: Significance and Strategies , 2000 .
[28] Irene Langkilde-Geary,et al. An Empirical Verification of Coverage and Correctness for a General-Purpose Sentence Generator , 2002, INLG.
[29] Simone Teufel,et al. Sentence extraction as a classification task , 1997 .