Skip to Content
Natural Language Annotation for Machine Learning
book

Natural Language Annotation for Machine Learning

by James Pustejovsky, Amber Stubbs
October 2012
Beginner to intermediate
342 pages
9h 55m
English
O'Reilly Media, Inc.
Content preview from Natural Language Annotation for Machine Learning

Appendix E. Bibliography

Allen, James. 1984. “Towards a General Theory of Action and Time.” Artificial Intelligence 23:123–154.

Artstein, Ron, and Massimo Poesio. December 2008. “Inter-coder agreement for computational linguistics.” Computational Linguistics 34(4):555–596.

Atkins, Sue, and N. Ostler. 1992. “Predictable Meaning Shift: Some Linguistic Properties of Lexical Implication Rules.” In Lexical Semantics and Commonsense Reasoning. J. Pustejovsky and S. Bergler (Eds.). New York: Springer-Verlag.

Baroni, M. 2009. “Distributions in text.” In Anke Lüdeling and Merja Kytö (eds.), Corpus linguistics: An international handbook, Volume 2, Berlin: Mouton de Gruyter: 803–821.

Bayerl, Petra Saskia, and Karsten Ingmar Paul. December 2011. “What Determines Inter-Coder Agreement in Manual Annotations? A Meta-Analytic Investigation.” Computational Linguistics 37(4):699–725.

Belnap, Nuel. 1992. “Branching Space-Time.” Synthese 92:385–434.

Biber, Douglas. 1993. “Representativeness in Corpus Design.” Literary and Linguistic Computing 8:243–257.

Bird, Steven, Ewan Klein, and Edward Loper. 2010. Natural Language Processing with Python. Sebastopol, CA: O’Reilly.

Blum, Avrim, and Tom Mitchell. 1998. “Combining labeled and unlabeled data with co-training.” In COLT: Proceedings of the Workshop on Computational Learning Theory. Madison, WI: Morgan Kaufmann.

Blunsom, Phil. 2004. “Maximum Entropy Markov Models for Semantic Role Labelling.” In Proceedings of the Australasian Language Technology Workshop.

Brill, ...

Become an O’Reilly member and get unlimited access to this title plus top books and audiobooks from O’Reilly and nearly 200 top publishers, thousands of courses curated by job role, 150+ live events each month,
and much more.

Read now

Unlock full access

More than 5,000 organizations count on O’Reilly

AirBnbBlueOriginElectronic ArtsHomeDepotNasdaqRakutenTata Consultancy Services

QuotationMarkO’Reilly covers everything we've got, with content to help us build a world-class technology community, upgrade the capabilities and competencies of our teams, and improve overall team performance as well as their engagement.
Julian F.
Head of Cybersecurity
QuotationMarkI wanted to learn C and C++, but it didn't click for me until I picked up an O'Reilly book. When I went on the O’Reilly platform, I was astonished to find all the books there, plus live events and sandboxes so you could play around with the technology.
Addison B.
Field Engineer
QuotationMarkI’ve been on the O’Reilly platform for more than eight years. I use a couple of learning platforms, but I'm on O'Reilly more than anybody else. When you're there, you start learning. I'm never disappointed.
Amir M.
Data Platform Tech Lead
QuotationMarkI'm always learning. So when I got on to O'Reilly, I was like a kid in a candy store. There are playlists. There are answers. There's on-demand training. It's worth its weight in gold, in terms of what it allows me to do.
Mark W.
Embedded Software Engineer

You might also like

Machine Learning with PyTorch and Scikit-Learn

Machine Learning with PyTorch and Scikit-Learn

Sebastian Raschka, Yuxi (Hayden) Liu, Vahid Mirjalili

Publisher Resources

ISBN: 9781449332693Errata