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Concept maps can be used to concisely represent important information and bring structure into large document collections.
Abstractive Multi-document Summarization with Semantic Information Extraction
Wei Li. 2015 · 1913
Earlier work this paper cites.
The Measurement of Observer Agreement for Categorical Data
J. Richard Landis and Gary G. Koch. 1977 · 1977
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Concept Maps as Reflectors of Conceptual Understanding
John Edwards and Kym Fraser. 1983 · 1983
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Learning How to Learn
Joseph D. Novak and D. Bob Gowin. 1984 · 1984
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Information navigation on the web by clustering and summarizing query results
Dmitri G. Roussinov and Hsinchun Chen. 2001 · 2001
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Knowledge discovery from texts: A Concept Frame Graph Approach
Kanagasabai Rajaraman and Ah-Hwee Tan. 2002 · 2002
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Concept Maps Applied to Mars Exploration Public Outreach
Geoffrey Briggs, David A. Shamma, Alberto J. Cañas, Roger Carff, Jeffrey Scargle, and Joseph D. Novak. 2004 · 2004
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ROUGE: A Package for Automatic Evaluation of Summaries
Chin-Yew Lin. 2004 · 2004
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Multidocument Summarization: An Added Value to Clustering in Interactive Retrieval
Manuel J. Maña-López, Manuel de Buenaga, and José M. Gómez-Hidalgo. 2004 · 2004
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Do summaries help? A Task-Based Evaluation of Multi-Document Summarization
Kathleen McKeown, Rebecca J. Passonneau, David K. Elson, Ani Nenkova, and Julia Hirschberg. 2005 · 2005
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Using concept maps as a cross-language resource discovery tool for large documents in digital libraries
Ryan Richardson and Edward A. Fox. 2005 · 2005
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Jump-Starting Concept Map Construction with Knowledge Extracted from Documents
Alejandro Valerio and David B. Leake. 2006 · 2006
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Open Information Extraction from the Web
Michele Banko, Michael J. Cafarella, Stephen Soderland, Matt Broadhead, and Oren Etzioni. 2007 · 2007
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TrueSkill(TM): A Bayesian Skill Rating System
Ralf Herbrich, Tom Minka, and Thore Graepel. 2007 · 2007
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Theoretical Origins of Concept Maps, How to Construct Them, and Uses in Education
Joseph D. Novak and Alberto J. Cañas. 2007 · 2007
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Overview of the TAC 2008 Update Summarization Task
Hoa Trang Dang and Karolina Owczarzak. 2008 · 2008
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Using Concept Maps for Information Conceptualization and Schematization in Technical Reading and Writing Courses: A Case Study for Computer Science Majors in Japan
Debopriyo Roy. 2008 · 2008
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Cheap and Fast – But is it Good? Evaluating Non-Expert Annotations for Natural Language Tasks
Rion Snow, Brendan O’Connor, Daniel Jurafsky, and Andrew Ng. 2008 · 2008
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Freebase
Kurt Bollacker, Colin Evans, Praveen Paritosh, Tim Sturge, and Jamie Taylor. 2009 · 2009
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Exploring the Analytical Processes of Intelligence Analysts
George Chin, Olga A. Kuchar, and Katherine E. Wolf. 2009 · 2009
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The WEKA Data Mining Software: An Update
Mark Hall, Eibe Frank, Geoffrey Holmes, Bernhard Pfahringer, Peter Reutemann, and Ian H. Witten. 2009 · 2009
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Evaluating the Generation of Domain Ontologies in the Knowledge Puzzle Project
Align, Disambiguate and Walk: A Unified Approach for Measuring Semantic Similarity
Mohammad Taher Pilehvar, David Jurgens, and Roberto Navigli. 2013 · 2013
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Concept map construction from text documents using affinity propagation
Iqbal Qasim, Jin-Woo Jeong, Jee-Uk Heu, and Dong-Ho Lee. 2013 · 2013
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Meteor Universal: Language Specific Translation Evaluation for Any Target Language
Michael Denkowski and Alon Lavie. 2014 · 2014
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Automatic Keyphrase Extraction: A Survey of the State of the Art
Kazi Saidul Hasan and Vincent Ng. 2014 · 2014
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Corpus Annotation through Crowdsourcing: Towards Best Practice Guidelines
Marta Sabou, Kalina Bontcheva, Leon Derczynski, and Arno Scharl. 2014 · 2014
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Toward Abstractive Summarization Using Semantic Representations
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Amal Zouaq and Roger Nkambou. 2009 · 2009
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Comparing Rating Scales and Preference Judgements in Language Evaluation
Anja Belz and Eric Kow. 2010 · 2010
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Concept Maps Core Elements Candidates Recognition from Text
Juliana H. Kowata, Davidson Cury, and Maria Claudia Silva Boeres. 2010 · 2010
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Construction of Text Summarization Corpus for the Credibility of Information on the Web
Masahiro Nakano, Hideyuki Shibuki, Rintaro Miyazaki, Madoka Ishioroshi, Koichi Kaneko, and Tatsunori Mori. 2010 · 2010
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Analysis of a Gold Standard for Concept Map Mining - How Humans Summarize Text Using Concept Maps
Jorge J. Villalon, Rafael A. Calvo, and Rodrigo Montenegro. 2010 · 2010
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Amazon Mechanical Turk: Gold Mine or Coal Mine?
Karën Fort, Gilles Adda, and K. Bretonnel Cohen. 2011 · 2011
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How Can Visual Analytics Assist Investigative Analysis? Design Implications from an Evaluation
Youn-Ah Kang, Carsten Görg, and John T. Stasko. 2011 · 2011
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Fei Liu, Jeffrey Flanigan, Sam Thomson, Norman Sadeh, and Noah A. Smith. 2015 · 2015
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Implementation of method for generating concept map from unstructured text in the Croatian language
Krunoslav Zubrinic, Ines Obradovic, and Tomo Sjekavica. 2015 · 2015
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Bridging the gap between extractive and abstractive summaries: Creation and evaluation of coherent extracts from heterogeneous sources
Darina Benikova, Margot Mieskes, Christian M. Meyer, and Iryna Gurevych. 2016 · 2016
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A Proposition-Based Abstractive Summariser
Yimai Fang, Haoyue Zhu, Ewa Muszyńska, Alexander Kuhnle, and Simone Teufel. 2016 · 2016
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New Collection Announcement: Focused Retrieval Over the Web
Ivan Habernal, Maria Sukhareva, Fiana Raiber, Anna Shtok, Oren Kurland, Hadar Ronen, Judit Bar-Ilan, and Iryna Gurevych. 2016 · 2016
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Capturing Reliable Fine-Grained Sentiment Associations by Crowdsourcing and Best-Worst Scaling
Svetlana Kiritchenko and Saif M. Mohammed. 2016 · 2016
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Abstractive News Summarization based on Event Semantic Link Network
Wei Li, Lei He, and Hai Zhuge. 2016 · 2016
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Creating a Large Benchmark for Open Information Extraction
Gabriel Stanovsky and Ido Dagan. 2016 · 2016
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Crowdsourced Top-k Algorithms: An Experimental Evaluation
Xiaohang Zhang, Guoliang Li, and Jianhua Feng. 2016 · 2016
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The Next Step for Multi-Document Summarization: A Heterogeneous Multi-Genre Corpus Built with a Novel Construction Approach
Markus Zopf, Maxime Peyrard, and Judith Eckle-Kohler. 2016 · 2016
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GraphDocExplore: A Framework for the Experimental Comparison of Graph-based Document Exploration Techniques
Tobias Falke and Iryna Gurevych. 2017 · 2017
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