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All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year Sort by creator [A → Z]' creator [Z → A]' publishing year ↑ (asc)' publishing year ↓ (desc)' title [A → Z]' title [Z → A]' Simple Search Hits 1 – 17 of 17 1 Gender differences across correlated corpora: preliminary results Roberta E. Sabin; Kerri A. Goodwin; Jade Goldstein-stewart... In: http://www.aaai.org/Papers/FLAIRS/2008/FLAIRS08-052.pdf (2008) BASE Show details 2 Genre identification and goal-focused summarization Jade Goldstein; Gary M. Ciany; Jaime G. Carbonell In: http://www.cs.fiu.edu/%7Elli003/Sum/CIKM/2007/p889-goldstein.pdf (2007) Abstract: In this paper, we present a novel technique of first performing document genre identification, then utilizing the genre for producing tailored summaries based on a user’s information seeking needs – genre oriented goal-focused summarization – such as a plot or opinion summary of a movie review. We create a test corpus to determine genre classification accuracy for 16 genres, and examine performance on various amounts of training data for machine learning algorithms- Random Forests, SVM light and Naïve Bayes. Results show that Random Forests outperforms SVM light and Naïve Bayes. The genre tag is used to inform a downstream summarization engine. We define types of summaries for 7 genres, create a ground truth corpus and analyze the results of genre oriented goal-focused summarization, showing that this type of user based summarization requires different algorithms than the leading sentence baseline which is known to perform well in the case of news articles. Keyword: Algorithms; Data Mining; Design; Evaluation; Experimentation; Machine Learning; Metadata Extraction; Performance Keywords Genre Identification; Summarization; Task-based Information Retrieval; Text Categorization; Text Classification URL: http://www.cs.fiu.edu/%7Elli003/Sum/CIKM/2007/p889-goldstein.pdf http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.222.8762 BASE Hide details 3 c○2006 The Association for Computational Linguistics Tat-seng Chua; Jade Goldstein; Simone Teufel... In: http://aclweb.org/anthology//W/W06/W06-07.pdf (2006) BASE Show details 4 CLASSY Query-Based Multi-Document Summarization John M. Conroy; Jade Goldstein Stewart; Judith D. Schlesinger In: http://duc.nist.gov/pubs/2005papers/ida.conroy.pdf (2005) BASE Show details 5 Left-Brain/Right-Brain Multi-Document Summarization John M. Conroy; Jade Goldstein; Judith D. Schlesinger... In: http://www.cs.umd.edu/users/oleary/reprints/c32.pdf (2004) BASE Show details 6 Creating and Evaluating Multi-Document Sentence Extract Summaries Jade Goldstein; Vibhu Mittal; Jaime Carbonell... In: http://www.cs.cmu.edu/~callan/Papers/goldstein-cikm00.pdf (2000) BASE Show details 7 Creating and Evaluating Multi-Document Sentence Extract Summaries Jade Goldstein; Jade Goldstein; Vibhu Mittal... In: http://www.cs.cmu.edu/~jade/ps/cikm00.ps (2000) BASE Show details 8 Summarizing text documents: Sentence selection and evaluation metrics Jade Goldstein; Mark Kantrowitz; Vibhu Mittal. - 1999 BASE Show details 9 Selecting Text Spans for Document Summaries: Heuristics and Metrics Vibhu Mittal; Mark Kantrowitz; Jade Goldstein... In: http://www.cs.cmu.edu/~mittal/abstracts/aaai99.ps.gz (1999) BASE Show details 10 Summarizing Text Documents: Sentence Selection and Evaluation Metrics Jade Goldstein; Mark Kantrowitz; Vibhu Mittal... In: http://www.cs.cmu.edu/~jade/ps/sigir99.ps (1999) BASE Show details 11 Selecting text spans for document summaries: Heuristics and metrics Vibhu Mittal; Mark Kantrowitz; Jade Goldstein... In: https://www.aaai.org/Papers/AAAI/1999/AAAI99-067.pdf (1999) BASE Show details 12 Generating Extraction-Based Summaries from Hand-Written Summaries by Aligning Text Spans Michele Banko; Vibhu Mittal; Mark Kantrowitz... In: http://www.jprc.com/publications/xtract/xtract.ps.gz (1999) BASE Show details 13 Summarizing Text Documents: Sentence Selection and Evaluation Metrics Jade Goldstein; Mark Kantrowitz; Vibhu Mittal... In: http://www-connex.lip6.fr/~amini/./RelatedWorks/Gol99.ps.gz (1999) BASE Show details 14 Summarizing Text Documents: Sentence Selection and Evaluation Metrics Jade Goldstein; Mark Kantrowitz; Vibhu Mittal... In: http://ranger.uta.edu/~alp/ix/readings/GoldsteinSigir99NewsSummarization.pdf (1999) BASE Show details 15 The Use of MMR, Diversity-Based Reranking for Reordering Documents and Producing Summaries Jaime Carbonell; Jade Goldstein In: http://www.cs.cmu.edu/~jade/ps/sigir98.ps (1998) BASE Show details 16 The use of MMR, diversity-based reranking for reordering documents and producing summaries Jaime Carbonell; Jade Goldstein In: http://www.cs.cmu.edu/%7Ejgc/publication/The_Use_MMR_Diversity_Based_LTMIR_1998.pdf (1998) BASE Show details 17 Annotating Subsets of the Enron Email Corpus Jade Goldstein; Andres Kwasinski; Paul Kingsbury... In: http://www.ceas.cc/2006/13.pdf BASE Show details

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