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1Computer Zeitung: Textanalysen kÃ¶nnen die Entscheidungsfindung verbessern (2007)
http://computerzeitung.de/article.html?thes=&art=/articles/2007023/31108978_ha_CZ.html
17 years ago by @flint63
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1YAG (Yet Another Generator): A Java-based natural language generator that employs a template-based approach
http://tigger.cs.uwm.edu/~nlkrrg/yag/yaghome.html
18 years ago by @flint63
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1_> Language Generation - tagged books
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18 years ago by @flint63
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1_> Text - tagged books
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3Why Finding Entities in Wikipedia is Difficult, Sometimes
G. Demartini, C. Firan, T. Iofciu, R. Krestel, and W. Nejdl. Information Retrieval, 13 (5): 534-567 (2010)
12 years ago by @flint63
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2Semantic Network Language Generation based on a Semantic Networks Serialization Grammar
Y. Dai, S. Zhang, J. Chen, T. Chen, and W. Zhang. World Wide Web, 13 (3): 307-341 (2010)
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3Linking Documents to Encyclopedic Knowledge
A. Csomai, and R. Mihalcea. IEEE Intelligent Systems, 23 (5): 34--41 (2008)
12 years ago by @flint63
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1A Computation-Oriented Multimedia Data Streams Model for Content-Based Information Retrieval
S. Chang, S. Lei Zhao, and R. Kulkarni. Multimedia Tools and Applications, 46 (2-3): 399-423 (2010)
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9Ontology Learning and Population: Bridging the Gap between Text and Knowledge
P. Buitelaar, and P. Cimiano (Eds.) Frontiers in Artificial Intelligence and Applications IOS Press, Amsterdam, (2008)
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9Ontology Learning from Text: Methods, Evaluation and Applications
P. Buitelaar, P. Cimiano, and B. Magnini (Eds.) Frontiers in Artificial Intelligence and Applications IOS Press, Amsterdam, (2005)
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1Computer Zeitung: Textanalysen kÃ¶nnen die Entscheidungsfindung verbessern (2007)

1YAG (Yet Another Generator): A Java-based natural language generator that employs a template-based approach

1_> Language Generation - tagged books

1_> Text - tagged books

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3Why Finding Entities in Wikipedia is Difficult, Sometimes

2Semantic Network Language Generation based on a Semantic Networks Serialization Grammar

3Linking Documents to Encyclopedic Knowledge

1A Computation-Oriented Multimedia Data Streams Model for Content-Based Information Retrieval

9Ontology Learning and Population: Bridging the Gap between Text and Knowledge

9Ontology Learning from Text: Methods, Evaluation and Applications

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