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MACHINE READINGWHAT DOES IT MEAN FOR PUBLISHERS?
Paul Groth (@pgroth)
Disruptive Technology Director
labs.elsevier.com
#SSP2015 Big Literature, Big Usage
“THE AUTOMATIC, UNSUPERVISEDUNDERSTANDING OF TEXT”
Etzioni, Oren, Michele Banko, and Michael J. Cafarella. "Machine Reading." AAAI. Vol. 6. 2006.
MACHINE READING
MACHINE READING
D. A. Ferrucci
“Introduction to this is Watson”
10.1147/JRD.2012.2184356
http://searchengineland.com/google-introduces-rich-medical-content-knowledge-graph-214559
MAS DEMO
https://vimeo.com/117688421
From Kuansan Wang: https://mix.office.com/watch/17q8a2u1ahep
NATURAL LANGUAGE PROCESSING
NATURAL LANGUAGE PROCESSING
MACHINE READING
NATURAL LANGUAGE PROCESSING
MACHINE READING
Etzioni, Oren, Michele Banko, and Michael J. Cafarella. "Machine Reading." AAAI. Vol. 6. 2006.
Figure 1. Schematic representation of the PaleoDeepDive workflow.
Peters SE, Zhang C, Livny M, Ré C (2014) A Machine Reading System for Assembling Synthetic Paleontological Databases. PLoS ONE 9(12): e113523. doi:10.1371/journal.pone.0113523http://127.0.0.1:8081/plosone/article?id=info:doi/10.1371/journal.pone.0113523
SOME THINGS TO THINK ABOUT
THINK PAPERS NOT PAPER
AUGMENT YOUR CONTENT
AUTOMATE AND THEN CURATE
WORK
MULTIPLE FORMATS
SAVE EVERYTHING
99% of query logs contain entities
25% of queries contain new terms
Your data scientists love data
PDF DOWNLOADS ONLY?
6 THINGS
1. Think papers not paper
2. Augment your content
3. Automate then curate
4. Embrace multiple formats
5. Save everything
6. A PDF download isn’t the only APP
Machine reading is the automated, unsupervised understanding of text.
A NOTE ON PRODUCTIVITY
Benjamin F. JonesThe Burden of Knowledge and the ‘Death of the Renaissance Man’: Is Innovation Getting Harder?
“if one is to stand on the shoulders of giants, one must first climb up their backs, and the greater the body of knowledge, the harder this climb becomes.” - Jones