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