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LingPipe Blog | Natural Language Processing and Text Analytics | lingpipe-blog.com Reviews
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Natural Language Processing and Text Analytics
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LingPipe Blog | Natural Language Processing and Text Analytics | lingpipe-blog.com Reviews

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Natural Language Processing and Text Analytics

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Canceled: Help Build a Watson Clone–Participants Sought for LingPipe Code Camp | LingPipe Blog

https://lingpipe-blog.com/2014/01/10/help-build-a-watson-clone-participants-sought-for-lingpipe-code-camp

Natural Language Processing and Text Analytics. Laquo; Limits of Floating Point and the Asymmetry of 0 and 1. New Book: Text Processing in Java. Canceled: Help Build a Watson Clone–Participants Sought for LingPipe Code Camp. Code Camp is canceled. We are late on delivering a LingPipe recipes book to our publisher and that will have to be our project for March. But we could have testers/reviewers come and hang out. Less fun I think. 8212;————————. 8212;———————. I have blogged about Watson. The code base w...

2

Lucene | LingPipe Blog

https://lingpipe-blog.com/category/lucene

Natural Language Processing and Text Analytics. Archive for the ‘Lucene’ Category. Laquo; Older Entries. Document Classification with Lucene. April 10, 2014. As promised in my last post. This post shows you how to use Lucene’s ranked search results and document store to build a simple classifier. Most of this post is excerpted from Text Processing in Java. Chapter 7, Text Search with Lucene. Takes some input, which could be just about anything, and returns a classification. This dataset is maintained by ...

3

What is “Bayesian” Statistical Inference? | LingPipe Blog

https://lingpipe-blog.com/2009/09/09/what-is-bayesian-statistical-inference

Natural Language Processing and Text Analytics. Laquo; When to Catch, Pass, or Throw Exceptions? Batting Averages: Bayesian vs. MLE Estimates. What is “Bayesian” Statistical Inference? I followed up this post with some concrete examples for binary and multinomial outcomes:. Bayesian Posteriors vs. MLE Estimates for Binomial Batting Ability. Bayesian Point Estimators of Batting Ability. Hierarchical Bayesian Batting Ability with Multiple Comparisons. Bayesian Counterpart to Fisher Exact Test. Over paramet...

4

Apache Lucene | LingPipe Blog

https://lingpipe-blog.com/tag/apache-lucene

Natural Language Processing and Text Analytics. Posts Tagged ‘Apache Lucene’. Lucene 4 Essentials for Text Search and Indexing. March 8, 2014. Here’s a short-ish introduction to the Lucene search engine which shows you how to use the current API to develop search over a collection of texts. Most of this post is excerpted from Text Processing in Java. Chapter 7, Text Search with Lucene. The Lucene API consists of a core. Library and many contributed libraries. The top-level package is. Lucene manages an i...

5

Language Model Generated Injection Attacks: Cool/Disturbing LingPipe Application | LingPipe Blog

https://lingpipe-blog.com/2010/03/09/language-model-generated-injection-attacks-cooldisturbing-lingpipe-application

Natural Language Processing and Text Analytics. Laquo; Function Input/Output Polarity and Java Wildcard Generics: extends vs. super. Chapelle, Metzler, Zhang, Grinspan (2009) Expected Reciprocal Rank for Graded Relevance. Language Model Generated Injection Attacks: Cool/Disturbing LingPipe Application. Joshua Mason emailed us with a link to his (with a bunch of co-authors) recent ACM paper “English Shellcode” ( http:/ www.cs.jhu.edu/ sam/ccs243-mason.pdf. This is way better than I would have thought poss...

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andrewgelman.com andrewgelman.com

"2% per degree Celsius . . . the magic number for how worker productivity responds to warm/hot temperatures" - Statistical Modeling, Causal Inference, and Social Science

http://andrewgelman.com/2012/09/17/persistently-reduced-labor-productivity-may-be-one-of-the-largest-economic-impacts-of-anthropogenic-climate-change

Statistical Modeling, Causal Inference, and Social Science. Laquo; Uri Simonsohn is speaking at Columbia tomorrow (Mon). More studies on the economic effects of climate change. 8220;2% per degree Celsius . . . the magic number for how worker productivity responds to warm/hot temperatures”. On 17 September 2012, 9:29 am. Solomon Hsiang shares some bad news:. Persistently reduced labor productivity may be one of the largest economic impacts of anthropogenic climate change. . . . In my 2010 PNAS paper.

rndsketch.blogspot.com rndsketch.blogspot.com

The R&D Sketch: The seven secrets of highly successful PhD students

http://rndsketch.blogspot.com/2011/04/seven-secrets-of-highly-successful-phd.html

This blog is about R&D in computer science and related fields. Its designed to be a good guide for juniors going into R&D, without getting into details of any particular field (e.g. machine learning). Blog posts will be related to writing papers, scholarships, the PhD experience, difference between scholar, governmental and industrial research.etc. Wednesday, April 27, 2011. The seven secrets of highly successful PhD students. 1 Keep in touch with your supervisors. 5 Treat PhD as a job. 6 Ask for help.

brainstat.blogspot.com brainstat.blogspot.com

brain + map + statistics: The connection between Linus Pauling and fMRI

http://brainstat.blogspot.com/2013/10/the-connection-between-linus-pauling.html

Research notes and fragments. Monday, October 7, 2013. The connection between Linus Pauling and fMRI. When I think of Linus Pauling. Pauling, in fact, had had a long interest in the properties of blood. In 1936 he published an important paper on the magnetic properties of hemoglobin. Pauling did not envision an application at the time but from the mid-1960s on much work was done on engineering MR field gradients. The connection between neural activity and the MR signal is roughly as follows:. 2) Brain ma...

rndsketch.blogspot.com rndsketch.blogspot.com

The R&D Sketch: January 2013

http://rndsketch.blogspot.com/2013_01_01_archive.html

This blog is about R&D in computer science and related fields. Its designed to be a good guide for juniors going into R&D, without getting into details of any particular field (e.g. machine learning). Blog posts will be related to writing papers, scholarships, the PhD experience, difference between scholar, governmental and industrial research.etc. Monday, January 21, 2013. Get a count-down timer. Set the timer to 25 minutes ( aka. Work on the task, with no interruptions until the pomodoro ends. Every ti...

brainstat.blogspot.com brainstat.blogspot.com

brain + map + statistics: The see-through brain

http://brainstat.blogspot.com/2013/04/the-see-through-brain.html

Research notes and fragments. Tuesday, April 23, 2013. This is a link. To Nature which published the article. The accompanying set of video clips is compelling; in one frame, a single nerve projection is traced out among a tangle of other neurons. The technique will provide a boost for the field of connectomics; researchers who would otherwise have to reconstruct neural wiring from small piece-meal sections of brain will be able to view whole-brain connections in one glance. View my complete profile.

investigatingtheimponderable.wordpress.com investigatingtheimponderable.wordpress.com

Continuing thoughts on data retention | Investigating the Imponderable

https://investigatingtheimponderable.wordpress.com/2013/01/13/continuing-thoughts-on-data-retention

Some anthropology graduate students, trying to do something with our fieldnotes. January 13, 2013. Continuing thoughts on data retention. Sorry for the long absence. I fell into the final moments of my fieldwork at the same time I started re-reading all of my fieldnotes from two and a half years of chunks of fieldwork. Needless to say, I went looking for the forest and face-planted on a few trees in the meantime. Given my understanding of this important difference between indices and codes, I better unde...

rndsketch.blogspot.com rndsketch.blogspot.com

The R&D Sketch: June 2010

http://rndsketch.blogspot.com/2010_06_01_archive.html

This blog is about R&D in computer science and related fields. Its designed to be a good guide for juniors going into R&D, without getting into details of any particular field (e.g. machine learning). Blog posts will be related to writing papers, scholarships, the PhD experience, difference between scholar, governmental and industrial research.etc. Friday, June 4, 2010. Should I get a Ph.D? Here are some things to keep in mind when making this decision:. A PhD is not for everyone! A PhD requires a partic...

ken-blog.krugler.org ken-blog.krugler.org

Tube of Terror post-mortem | Ken's Techno Tidbits

https://ken-blog.krugler.org/2012/10/04/tube-of-terror-post-mortem

Ken's Techno Tidbits. Tube of Terror post-mortem. So in the end, we didn’t win. We did avoid hitting other vehicles, or crashing into a hay bale, or crashing into somebody (like a race volunteer), unlike a few other vehicles I could mention. And we looked good…. Turns out my near-death power slide on Nimrod during a test run caused the rear axle frame to bend, leading to toe-out (or toe-in? I can never remember). You can follow any responses to this entry through the RSS 2.0. Feed You can leave a response.

ken-blog.krugler.org ken-blog.krugler.org

Kaweah Basin | Ken's Techno Tidbits

https://ken-blog.krugler.org/tag/kaweah-basin

Ken's Techno Tidbits. Kaweah Basin Hike 2015. July 20, 2015. To make things more interesting, we decided to do it as a trans-Sierra trip, crossing through remote Kaweah Basin and meeting up with friends in the Big Arroyo, before exiting via Mineral King. Since it’s a one-way, issue #1 was how to get there. I originally made plans to use the Eastern Sierra Transit. Speaking of the shuttle, we used Paul Fretheim of East Side Sierra Shuttle. The above photo is from the hiker’s trailhead, which is a bi...

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Natural Language Processing and Text Analytics. Ethics, logistic regression, and 0-1 loss. December 27, 2016 by. Andrew Gelman and David Madigan wrote a paper on why 0-1 loss is so problematic:. Gelman and Madigan. 2015. How is Ethics Like Logistic Regression? This is related to the issue of whether one should be training on an artificial gold standard. Suppose we have a bunch of annotators and we don’t have perfect agreement on items. What do we do? J R Statist. Soc. B. Posted in Carp's Blog. Rebecca J&...

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