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October 04 2013

Four short links: 4 October 2013

  1. Case and Molly, a Game Inspired by Neuromancer (Greg Borenstein) — On reading Neuromancer today, this dynamic feels all too familiar. We constantly navigate the tension between the physical and the digital in a state of continuous partial attention. We try to walk down the street while sending text messages or looking up GPS directions. We mix focused work with a stream of instant message and social media conversations. We dive into the sudden and remote intimacy of seeing a family member’s face appear on FaceTime or Google Hangout. “Case and Molly” uses the mechanics and aesthetics of Neuromancer’s account of cyberspace/meatspace coordination to explore this dynamic.
  2. Rethinking Ray Ozziean inescapable conclusion: Ray Ozzie was right. And Microsoft’s senior leadership did not listen, certainly not at the time, and perhaps not until it was too late. Hear, hear!
  3. Recursive Deep Models for Semantic Compositionality
    Over a Sentiment Treebank
    (PDF) — apparently it nails sentiment analysis, and will be “open sourced”. At least, according to this GigaOm piece, which also explains how it works.
  4. PLoS ASAP Award Finalists Announced — with pointers to interviews with the finalists, doing open access good work like disambiguating species names and doing open source drug discovery.

September 24 2013

Four short links: 30 September 2013

  1. Steve Yegge on GROK (YouTube) — The Grok Project is an internal Google initiative to simplify the navigation and querying of very large program source repositories. We have designed and implemented a language-neutral, canonical representation for source code and compiler metadata. Our data production pipeline runs compiler clusters over all Google’s code and third-party code, extracting syntactic and semantic information. The data is then indexed and served to a wide variety of clients with specialized needs. The entire ecosystem is evolving into an extensible platform that permits languages, tools, clients and build systems to interoperate in well-defined, standardized protocols.
  2. Deep Learning for Semantic AnalysisWhen trained on the new treebank, this model outperforms all previous methods on several metrics. It pushes the state of the art in single sentence positive/negative classification from 80% up to 85.4%. The accuracy of predicting fine-grained sentiment labels for all phrases reaches 80.7%, an improvement of 9.7% over bag of features baselines. Lastly, it is the only model that can accurately capture the effect of contrastive conjunctions as well as negation and its scope at various tree levels for both positive and negative phrases.
  3. Fireshell — workflow tools and framework for front-end developers.
  4. SICP.js — lots of Structure and Interpretation of Computer Programs (the canonical text for higher-order programming) ported to Javascript.

May 28 2013

Four short links: 28 May 2013

  1. My Little Geek — children’s primer with a geeky bent. A is for Android, B is for Binary, C is for Caffeine …. They have a Kickstarter for two sequels: numbers and shapes.
  2. Visible CSS RulesEnter a url to see how the css rules interact with that page.
  3. How to Work Remotely — none of this is rocket science, it’s all true and things we had to learn the hard way.
  4. Raspberry Pi Twitter Sentiment Server — step-by-step guide, and github repo for the lazy. (via Jason Bell)
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