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» Large-scale extraction and use of knowledge from text
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ICMLA
2009
15 years 4 months ago
Knowledge Transfer for Feature Generation in Document Classification
One important problem in machine learning is how to extract knowledge from prior experience, then transfer and apply this knowledge in new learning tasks. To address this problem, ...
Jian Zhang, Shobhit S. Shakya
AAAI
2007
15 years 8 months ago
ASKNet: Automatically Generating Semantic Knowledge Networks
The ASKNet project uses a combination of NLP tools and spreading activation to transform natural language text into semantic knowledge networks. Network fragments are generated fr...
Brian Harrington
SIGIR
2000
ACM
15 years 11 months ago
OCELOT: a system for summarizing Web pages
Abstract We introduce OCELOT, a prototype system for automatically generating the “gist” of a web page by summarizing it. Although most text summarization research to date has ...
Adam L. Berger, Vibhu O. Mittal
MLDM
2005
Springer
16 years 13 hour ago
CorePhrase: Keyphrase Extraction for Document Clustering
Abstract. The ability to discover the topic of a large set of text documents using relevant keyphrases is usually regarded as a very tedious task if done by hand. Automatic keyphra...
Khaled M. Hammouda, Diego N. Matute, Mohamed S. Ka...
ACL
1990
15 years 7 months ago
Automatically Extracting and Representing Collocations for Language Generation
Collocational knowledge is necessary for language generation. The problem is that collocations come in a large variety of forms. They can involve two, three or more words, these w...
Frank A. Smadja, Kathleen McKeown