Dynamic summarization of bibliographic-based data
<p>Abstract</p> <p>Background</p> <p>Traditional information retrieval techniques typically return excessive output when directed at large bibliographic databases. Natural Language Processing applications strive to extract salient content from the excessive data. Semant...
| Main Authors: | , |
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| Format: | Article |
| Language: | English |
| Published: |
BMC
2011-02-01
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| Series: | BMC Medical Informatics and Decision Making |
| Online Access: | http://www.biomedcentral.com/1472-6947/11/6 |