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    <title>The tangled history of mRNA vaccines</title>
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    <title>(3) Pessimists Archive (@PessimistsArc) / Twitter</title>
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    <title>Graphic Novel - Bipartisan Commission on Biodefense</title>
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    <dc:creator>arsyed</dc:creator><description><![CDATA["This  paper  examines  the  history  of  the  learning  theory  “constructionism”  and  its  most  well-known implementation,  Logo,  to  examine  beliefs  involving  both  “C’s”  in  CSCW:  computers  and  cooperation. Tracing the tumultuous history of one of the first examples of computer-supported cooperative learning (CSCL) allows us to question some present-day assumptions regarding the universal appeal of learning to program  computers that undergirds  popular  CSCL  initiatives  today,  including  the  Scratch  programming environment and the “FabLab” makerspace movement. Furthermore, teasing out the individualistic and anti-authority threads in this project and its links to present day narratives of technology development exposes the deeply  atomized  and  even  oppositional  notions  of  collaboration  in  these  projects  and  others  under  the auspices of CSCW today that draw on early notions of ‘hacker culture.’ These notions tend to favor a limited view of work, learning, and practice – an invisible constraint that continues to inform how we build and evaluate CSCW technologies. "]]></description>
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    <title>How Slavery Shaped American Capitalism</title>
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</rdf:Bag></taxo:topics>
</item>
<item rdf:about="https://kottke.org/19/07/highlights-from-in-the-garden-of-beasts-by-erik-larson">
    <title>Highlights from In the Garden of Beasts by Erik Larson</title>
    <dc:date>2019-07-22T03:06:39+00:00</dc:date>
    <link>https://kottke.org/19/07/highlights-from-in-the-garden-of-beasts-by-erik-larson</link>
    <dc:creator>arsyed</dc:creator><dc:subject>history germany nazi books</dc:subject>
<dc:source>https://pinboard.in/</dc:source>
<dc:identifier>https://pinboard.in/u:arsyed/b:49976f9d2fe0/</dc:identifier>
<taxo:topics><rdf:Bag>	<rdf:li rdf:resource="https://pinboard.in/u:arsyed/t:history"/>
	<rdf:li rdf:resource="https://pinboard.in/u:arsyed/t:germany"/>
	<rdf:li rdf:resource="https://pinboard.in/u:arsyed/t:nazi"/>
	<rdf:li rdf:resource="https://pinboard.in/u:arsyed/t:books"/>
</rdf:Bag></taxo:topics>
</item>
<item rdf:about="https://theundefeated.com/features/the-undefeated-44-most-influential-black-americans-in-history/">
    <title>The Undefeated 44 most influential black Americans in history — The Undefeated</title>
    <dc:date>2019-07-15T13:39:42+00:00</dc:date>
    <link>https://theundefeated.com/features/the-undefeated-44-most-influential-black-americans-in-history/</link>
    <dc:creator>arsyed</dc:creator><dc:subject>history black</dc:subject>
<dc:source>https://pinboard.in/</dc:source>
<dc:identifier>https://pinboard.in/u:arsyed/b:1c31d39f0b8b/</dc:identifier>
<taxo:topics><rdf:Bag>	<rdf:li rdf:resource="https://pinboard.in/u:arsyed/t:history"/>
	<rdf:li rdf:resource="https://pinboard.in/u:arsyed/t:black"/>
</rdf:Bag></taxo:topics>
</item>
<item rdf:about="https://www.umass.edu/wsp/resources/tales/">
    <title>Statistics | Tales of Statisticians</title>
    <dc:date>2019-07-05T12:58:18+00:00</dc:date>
    <link>https://www.umass.edu/wsp/resources/tales/</link>
    <dc:creator>arsyed</dc:creator><dc:subject>statistics history</dc:subject>
<dc:source>https://pinboard.in/</dc:source>
<dc:identifier>https://pinboard.in/u:arsyed/b:2059fa7e35d5/</dc:identifier>
<taxo:topics><rdf:Bag>	<rdf:li rdf:resource="https://pinboard.in/u:arsyed/t:statistics"/>
	<rdf:li rdf:resource="https://pinboard.in/u:arsyed/t:history"/>
</rdf:Bag></taxo:topics>
</item>
<item rdf:about="https://www.theguardian.com/news/2019/feb/15/the-us-hidden-empire-overseas-territories-united-states-guam-puerto-rico-american-samoa">
    <title>How the US has hidden its empire | News | The Guardian</title>
    <dc:date>2019-06-06T23:04:51+00:00</dc:date>
    <link>https://www.theguardian.com/news/2019/feb/15/the-us-hidden-empire-overseas-territories-united-states-guam-puerto-rico-american-samoa</link>
    <dc:creator>arsyed</dc:creator><dc:subject>history america empire</dc:subject>
<dc:source>https://pinboard.in/</dc:source>
<dc:identifier>https://pinboard.in/u:arsyed/b:c25b8afb29e1/</dc:identifier>
<taxo:topics><rdf:Bag>	<rdf:li rdf:resource="https://pinboard.in/u:arsyed/t:history"/>
	<rdf:li rdf:resource="https://pinboard.in/u:arsyed/t:america"/>
	<rdf:li rdf:resource="https://pinboard.in/u:arsyed/t:empire"/>
</rdf:Bag></taxo:topics>
</item>
<item rdf:about="https://bostonreview.net/class-inequality/marshall-steinbaum-book-explains-charlottesville">
    <title>The Book that Explains Charlottesville | Boston Review</title>
    <dc:date>2019-03-05T15:52:30+00:00</dc:date>
    <link>https://bostonreview.net/class-inequality/marshall-steinbaum-book-explains-charlottesville</link>
    <dc:creator>arsyed</dc:creator><dc:subject>books reviews race history</dc:subject>
<dc:source>https://pinboard.in/</dc:source>
<dc:identifier>https://pinboard.in/u:arsyed/b:ee02603c1f91/</dc:identifier>
<taxo:topics><rdf:Bag>	<rdf:li rdf:resource="https://pinboard.in/u:arsyed/t:books"/>
	<rdf:li rdf:resource="https://pinboard.in/u:arsyed/t:reviews"/>
	<rdf:li rdf:resource="https://pinboard.in/u:arsyed/t:race"/>
	<rdf:li rdf:resource="https://pinboard.in/u:arsyed/t:history"/>
</rdf:Bag></taxo:topics>
</item>
<item rdf:about="https://en.m.wikipedia.org/wiki/Mark_V._Shaney">
    <title>Mark V. Shaney - Wikipedia</title>
    <dc:date>2019-02-21T18:03:39+00:00</dc:date>
    <link>https://en.m.wikipedia.org/wiki/Mark_V._Shaney</link>
    <dc:creator>arsyed</dc:creator><dc:subject>usenet history language-model markov-chain generative text</dc:subject>
<dc:source>https://pinboard.in/</dc:source>
<dc:identifier>https://pinboard.in/u:arsyed/b:b95c343b31b2/</dc:identifier>
<taxo:topics><rdf:Bag>	<rdf:li rdf:resource="https://pinboard.in/u:arsyed/t:usenet"/>
	<rdf:li rdf:resource="https://pinboard.in/u:arsyed/t:history"/>
	<rdf:li rdf:resource="https://pinboard.in/u:arsyed/t:language-model"/>
	<rdf:li rdf:resource="https://pinboard.in/u:arsyed/t:markov-chain"/>
	<rdf:li rdf:resource="https://pinboard.in/u:arsyed/t:generative"/>
	<rdf:li rdf:resource="https://pinboard.in/u:arsyed/t:text"/>
</rdf:Bag></taxo:topics>
</item>
<item rdf:about="https://imgur.com/MsXaOdV">
    <title>Medieval trade networks v.4 - Imgur</title>
    <dc:date>2019-02-19T20:36:30+00:00</dc:date>
    <link>https://imgur.com/MsXaOdV</link>
    <dc:creator>arsyed</dc:creator><dc:subject>maps trade history via:nelson</dc:subject>
<dc:source>https://pinboard.in/</dc:source>
<dc:identifier>https://pinboard.in/u:arsyed/b:56f30423c9c6/</dc:identifier>
<taxo:topics><rdf:Bag>	<rdf:li rdf:resource="https://pinboard.in/u:arsyed/t:maps"/>
	<rdf:li rdf:resource="https://pinboard.in/u:arsyed/t:trade"/>
	<rdf:li rdf:resource="https://pinboard.in/u:arsyed/t:history"/>
	<rdf:li rdf:resource="https://pinboard.in/u:arsyed/t:via:nelson"/>
</rdf:Bag></taxo:topics>
</item>
<item rdf:about="http://lists.busybox.net/pipermail/busybox/2010-December/074114.html">
    <title>Understanding the bin, sbin, usr/bin , usr/sbin split</title>
    <dc:date>2019-02-08T04:59:03+00:00</dc:date>
    <link>http://lists.busybox.net/pipermail/busybox/2010-December/074114.html</link>
    <dc:creator>arsyed</dc:creator><description><![CDATA["You know how Ken Thompson and Dennis Ritchie created Unix on a PDP-7 in 1969? Well around 1971 they upgraded to a PDP-11 with a pair of RK05 disk packs (1.5 megabytes each) for storage. When the operating system grew too big to fit on the first RK05 disk pack (their root filesystem) they let it leak into the second one, which is where all the user home directories lived (which is why the mount was called /usr). They replicated all the OS directories under there (/bin, /sbin, /lib, /tmp...) and wrote files to those new directories because their original disk was out of space. When they got a third disk, they mounted it on /home and relocated all the user directories to there so the OS could consume all the space on both disks and grow to THREE WHOLE MEGABYTES (ooooh!).

Of course they made rules about "when the system first boots, it has to come up  enough to be able to mount the second disk on /usr, so don't put things like  the mount command /usr/bin or we'll have a chicken and egg problem bringing  the system up."  Fairly straightforward.  Also fairly specific to v6 unix of 35  years ago.

The /bin vs /usr/bin split (and all the others) is an artifact of this, a  1970's implementation detail that got carried forward for decades by 
bureaucrats who never question _why_ they're doing things.  It stopped making any sense before Linux was ever invented [...]

Standards bureaucracies like the Linux Foundation (which consumed the Free  Standards Group in its' ever-growing accretion disk years ago) happily  document and add to this sort of complexity without ever trying to understand  why it was there in the first place."]]></description>
<dc:subject>unix filesystem history via:jm</dc:subject>
<dc:source>https://pinboard.in/</dc:source>
<dc:identifier>https://pinboard.in/u:arsyed/b:9eb3e7783c8b/</dc:identifier>
<taxo:topics><rdf:Bag>	<rdf:li rdf:resource="https://pinboard.in/u:arsyed/t:unix"/>
	<rdf:li rdf:resource="https://pinboard.in/u:arsyed/t:filesystem"/>
	<rdf:li rdf:resource="https://pinboard.in/u:arsyed/t:history"/>
	<rdf:li rdf:resource="https://pinboard.in/u:arsyed/t:via:jm"/>
</rdf:Bag></taxo:topics>
</item>
<item rdf:about="https://www.nytimes.com/1911/08/27/archives/martians-build-two-immense-canals-in-two-years-vast-engineering.html">
    <title>Martians Build Two Immense Canals In Two Years - The New York Times</title>
    <dc:date>2019-01-16T01:58:59+00:00</dc:date>
    <link>https://www.nytimes.com/1911/08/27/archives/martians-build-two-immense-canals-in-two-years-vast-engineering.html</link>
    <dc:creator>arsyed</dc:creator><description><![CDATA["Vast Engineering Works Accomplished in an Incredibly Short Time by Our Planetary Neighbors -Wonders of the September Sky."]]></description>
<dc:subject>nyt mars history</dc:subject>
<dc:source>https://pinboard.in/</dc:source>
<dc:identifier>https://pinboard.in/u:arsyed/b:5ee9c13c420a/</dc:identifier>
<taxo:topics><rdf:Bag>	<rdf:li rdf:resource="https://pinboard.in/u:arsyed/t:nyt"/>
	<rdf:li rdf:resource="https://pinboard.in/u:arsyed/t:mars"/>
	<rdf:li rdf:resource="https://pinboard.in/u:arsyed/t:history"/>
</rdf:Bag></taxo:topics>
</item>
<item rdf:about="https://rss.onlinelibrary.wiley.com/doi/pdf/10.1111/j.1740-9713.2013.00706.x">
    <title>Great moments in statistics - j.1740-9713.2013.00706.x</title>
    <dc:date>2018-11-05T16:39:48+00:00</dc:date>
    <link>https://rss.onlinelibrary.wiley.com/doi/pdf/10.1111/j.1740-9713.2013.00706.x</link>
    <dc:creator>arsyed</dc:creator><dc:subject>statistics history teaching</dc:subject>
<dc:source>https://pinboard.in/</dc:source>
<dc:identifier>https://pinboard.in/u:arsyed/b:b03fbccfea2e/</dc:identifier>
<taxo:topics><rdf:Bag>	<rdf:li rdf:resource="https://pinboard.in/u:arsyed/t:statistics"/>
	<rdf:li rdf:resource="https://pinboard.in/u:arsyed/t:history"/>
	<rdf:li rdf:resource="https://pinboard.in/u:arsyed/t:teaching"/>
</rdf:Bag></taxo:topics>
</item>
<item rdf:about="https://arxiv.org/abs/1406.6018">
    <title>[1406.6018] A brief history of long memory: Hurst, Mandelbrot and the road to ARFIMA</title>
    <dc:date>2018-11-03T11:15:08+00:00</dc:date>
    <link>https://arxiv.org/abs/1406.6018</link>
    <dc:creator>arsyed</dc:creator><description><![CDATA[ Long memory plays an important role in many fields by determining the behaviour and predictability of systems; for instance, climate, hydrology, finance, networks and DNA sequencing. In particular, it is important to test if a process is exhibiting long memory since that impacts the accuracy and confidence with which one may predict future events on the basis of a small amount of historical data. A major force in the development and study of long memory was the late Benoit B. Mandelbrot. Here we discuss the original motivation of the development of long memory and Mandelbrot's influence on this fascinating field. We will also elucidate the sometimes contrasting approaches to long memory in different scientific communities ]]></description>
<dc:subject>surveys long-memory time-series statistics history arfima</dc:subject>
<dc:source>https://pinboard.in/</dc:source>
<dc:identifier>https://pinboard.in/u:arsyed/b:4d5ee30c40a7/</dc:identifier>
<taxo:topics><rdf:Bag>	<rdf:li rdf:resource="https://pinboard.in/u:arsyed/t:surveys"/>
	<rdf:li rdf:resource="https://pinboard.in/u:arsyed/t:long-memory"/>
	<rdf:li rdf:resource="https://pinboard.in/u:arsyed/t:time-series"/>
	<rdf:li rdf:resource="https://pinboard.in/u:arsyed/t:statistics"/>
	<rdf:li rdf:resource="https://pinboard.in/u:arsyed/t:history"/>
	<rdf:li rdf:resource="https://pinboard.in/u:arsyed/t:arfima"/>
</rdf:Bag></taxo:topics>
</item>
<item rdf:about="http://taylormadeculture.com/the-green-book/">
    <title>THE GREEN BOOK — Taylor Made Culture</title>
    <dc:date>2018-08-01T18:14:05+00:00</dc:date>
    <link>http://taylormadeculture.com/the-green-book/</link>
    <dc:creator>arsyed</dc:creator><description><![CDATA["Despite the dangers, millions of black vacationers hit the road and relied on a travel guide called, The Negro Motorist Green Book. Victor H. Green, a black postal worker from Harlem, New York, created this guide and it was published from 1936 until 1967. The “Green Book” featured barbershops, beauty salons, tailors, department stores, taverns, gas stations, garages, and even real-estate offices that were willing to serve blacks. A page inside boasted, “Just What You Have Been Looking For!! NOW WE CAN TRAVEL WITHOUT EMBARRASSMENT.”

Green modeled his guide after Jewish travel guides created for the Borsht Belt in the 1930s. Other black travelers’ guides existed—Hackley and Harrison’s Hotel and Apartment Guide for Colored Travelers (1930-1931), Travel Guide(1947-1963), and Grayson’s Guide: The Go Guide to Pleasant Motoring (1953-1959)—but the Green Book was published for the longest period of time and had the widest readership. It was promoted by word of mouth, and a national network of postal workers led by Green who solicited advertisers. By 1962, the Green Book reached a circulation of two million people."]]></description>
<dc:subject>green-book racism history travel</dc:subject>
<dc:source>https://pinboard.in/</dc:source>
<dc:identifier>https://pinboard.in/u:arsyed/b:828d299b830a/</dc:identifier>
<taxo:topics><rdf:Bag>	<rdf:li rdf:resource="https://pinboard.in/u:arsyed/t:green-book"/>
	<rdf:li rdf:resource="https://pinboard.in/u:arsyed/t:racism"/>
	<rdf:li rdf:resource="https://pinboard.in/u:arsyed/t:history"/>
	<rdf:li rdf:resource="https://pinboard.in/u:arsyed/t:travel"/>
</rdf:Bag></taxo:topics>
</item>
<item rdf:about="https://talkingpointsmemo.com/feature/todays-voter-suppression-tactics-have-a-150-year-history">
    <title>Today’s Voter Suppression Tactics Have A 150 Year History – Talking Points Memo</title>
    <dc:date>2018-07-30T05:29:23+00:00</dc:date>
    <link>https://talkingpointsmemo.com/feature/todays-voter-suppression-tactics-have-a-150-year-history</link>
    <dc:creator>arsyed</dc:creator><description><![CDATA["Rebels in the post-Civil War South perfected the art of excluding voters, but it was yankees in the North who developed the script."]]></description>
<dc:subject>history politics race voting</dc:subject>
<dc:source>https://pinboard.in/</dc:source>
<dc:identifier>https://pinboard.in/u:arsyed/b:ec3abe1669e8/</dc:identifier>
<taxo:topics><rdf:Bag>	<rdf:li rdf:resource="https://pinboard.in/u:arsyed/t:history"/>
	<rdf:li rdf:resource="https://pinboard.in/u:arsyed/t:politics"/>
	<rdf:li rdf:resource="https://pinboard.in/u:arsyed/t:race"/>
	<rdf:li rdf:resource="https://pinboard.in/u:arsyed/t:voting"/>
</rdf:Bag></taxo:topics>
</item>
<item rdf:about="http://www.bradford-delong.com/2018/07/why-was-the-20th-century-not-a-chinese-century-an-outtake-from-slouching-towards-utopia-an-economic-history-of-the-long.html">
    <title>Why Was the 20th Century Not a Chinese Century?: An Outtake from &quot;Slouching Towards Utopia?: An Economic History of the Long 20th Century&quot;</title>
    <dc:date>2018-07-28T03:10:59+00:00</dc:date>
    <link>http://www.bradford-delong.com/2018/07/why-was-the-20th-century-not-a-chinese-century-an-outtake-from-slouching-towards-utopia-an-economic-history-of-the-long.html</link>
    <dc:creator>arsyed</dc:creator><dc:subject>history china</dc:subject>
<dc:source>https://pinboard.in/</dc:source>
<dc:identifier>https://pinboard.in/u:arsyed/b:be9952ff6d19/</dc:identifier>
<taxo:topics><rdf:Bag>	<rdf:li rdf:resource="https://pinboard.in/u:arsyed/t:history"/>
	<rdf:li rdf:resource="https://pinboard.in/u:arsyed/t:china"/>
</rdf:Bag></taxo:topics>
</item>
<item rdf:about="https://blogs.msdn.microsoft.com/commandline/2018/06/20/windows-command-line-backgrounder/">
    <title>Windows Command-Line: Backgrounder – Windows Command Line Tools For Developers</title>
    <dc:date>2018-07-18T06:22:41+00:00</dc:date>
    <link>https://blogs.msdn.microsoft.com/commandline/2018/06/20/windows-command-line-backgrounder/</link>
    <dc:creator>arsyed</dc:creator><description><![CDATA["This is the first of a series of posts in which we’ll explore all things command-line – from the origins of the command-line and the evolution of the terminal, to what we’re doing to overhaul and modernize the Windows Console & command-line in future Windows releases."]]></description>
<dc:subject>windows cli history microsoft</dc:subject>
<dc:source>https://pinboard.in/</dc:source>
<dc:identifier>https://pinboard.in/u:arsyed/b:a8e842f55e2a/</dc:identifier>
<taxo:topics><rdf:Bag>	<rdf:li rdf:resource="https://pinboard.in/u:arsyed/t:windows"/>
	<rdf:li rdf:resource="https://pinboard.in/u:arsyed/t:cli"/>
	<rdf:li rdf:resource="https://pinboard.in/u:arsyed/t:history"/>
	<rdf:li rdf:resource="https://pinboard.in/u:arsyed/t:microsoft"/>
</rdf:Bag></taxo:topics>
</item>
<item rdf:about="https://resobscura.blogspot.com/2017/11/what-did-17th-century-food-taste-like.html">
    <title>Res Obscura: What Did 17th Century Food Taste Like?</title>
    <dc:date>2018-07-17T23:39:49+00:00</dc:date>
    <link>https://resobscura.blogspot.com/2017/11/what-did-17th-century-food-taste-like.html</link>
    <dc:creator>arsyed</dc:creator><dc:subject>food history taste art</dc:subject>
<dc:source>https://pinboard.in/</dc:source>
<dc:identifier>https://pinboard.in/u:arsyed/b:776a75a05a11/</dc:identifier>
<taxo:topics><rdf:Bag>	<rdf:li rdf:resource="https://pinboard.in/u:arsyed/t:food"/>
	<rdf:li rdf:resource="https://pinboard.in/u:arsyed/t:history"/>
	<rdf:li rdf:resource="https://pinboard.in/u:arsyed/t:taste"/>
	<rdf:li rdf:resource="https://pinboard.in/u:arsyed/t:art"/>
</rdf:Bag></taxo:topics>
</item>
<item rdf:about="http://coreyrobin.com/2018/06/06/the-creative-class-gets-organized/">
    <title>The Creative Class Gets Organized</title>
    <dc:date>2018-06-06T21:38:00+00:00</dc:date>
    <link>http://coreyrobin.com/2018/06/06/the-creative-class-gets-organized/</link>
    <dc:creator>arsyed</dc:creator><dc:subject>unions history politics</dc:subject>
<dc:source>https://pinboard.in/</dc:source>
<dc:identifier>https://pinboard.in/u:arsyed/b:f54c6bca9527/</dc:identifier>
<taxo:topics><rdf:Bag>	<rdf:li rdf:resource="https://pinboard.in/u:arsyed/t:unions"/>
	<rdf:li rdf:resource="https://pinboard.in/u:arsyed/t:history"/>
	<rdf:li rdf:resource="https://pinboard.in/u:arsyed/t:politics"/>
</rdf:Bag></taxo:topics>
</item>
<item rdf:about="https://marginalrevolution.com/marginalrevolution/2018/06/stochastically-best-book-read-country.html">
    <title>The stochastically best book to read on each country - Marginal REVOLUTION</title>
    <dc:date>2018-06-05T06:00:09+00:00</dc:date>
    <link>https://marginalrevolution.com/marginalrevolution/2018/06/stochastically-best-book-read-country.html</link>
    <dc:creator>arsyed</dc:creator><dc:subject>books countries history politics</dc:subject>
<dc:source>https://pinboard.in/</dc:source>
<dc:identifier>https://pinboard.in/u:arsyed/b:126fc917ce9f/</dc:identifier>
<taxo:topics><rdf:Bag>	<rdf:li rdf:resource="https://pinboard.in/u:arsyed/t:books"/>
	<rdf:li rdf:resource="https://pinboard.in/u:arsyed/t:countries"/>
	<rdf:li rdf:resource="https://pinboard.in/u:arsyed/t:history"/>
	<rdf:li rdf:resource="https://pinboard.in/u:arsyed/t:politics"/>
</rdf:Bag></taxo:topics>
</item>
<item rdf:about="https://fivebooks.com/best-books/kaushik-basu-indian-economy/#book-944">
    <title>The Best Books on The Indian Economy | Five Books</title>
    <dc:date>2018-06-04T23:11:52+00:00</dc:date>
    <link>https://fivebooks.com/best-books/kaushik-basu-indian-economy/#book-944</link>
    <dc:creator>arsyed</dc:creator><dc:subject>books rec india history economics</dc:subject>
<dc:source>https://pinboard.in/</dc:source>
<dc:identifier>https://pinboard.in/u:arsyed/b:541dd5e2733c/</dc:identifier>
<taxo:topics><rdf:Bag>	<rdf:li rdf:resource="https://pinboard.in/u:arsyed/t:books"/>
	<rdf:li rdf:resource="https://pinboard.in/u:arsyed/t:rec"/>
	<rdf:li rdf:resource="https://pinboard.in/u:arsyed/t:india"/>
	<rdf:li rdf:resource="https://pinboard.in/u:arsyed/t:history"/>
	<rdf:li rdf:resource="https://pinboard.in/u:arsyed/t:economics"/>
</rdf:Bag></taxo:topics>
</item>
<item rdf:about="https://www.bloomberg.com/news/features/2018-05-17/apple-and-its-rivals-bet-their-futures-on-these-men-s-dreams">
    <title>Apple and Its Rivals Bet Their Futures on These Men’s Dreams - Bloomberg</title>
    <dc:date>2018-05-22T23:43:10+00:00</dc:date>
    <link>https://www.bloomberg.com/news/features/2018-05-17/apple-and-its-rivals-bet-their-futures-on-these-men-s-dreams</link>
    <dc:creator>arsyed</dc:creator><dc:subject>history interviews deep-learning</dc:subject>
<dc:source>https://pinboard.in/</dc:source>
<dc:identifier>https://pinboard.in/u:arsyed/b:1d37042cece7/</dc:identifier>
<taxo:topics><rdf:Bag>	<rdf:li rdf:resource="https://pinboard.in/u:arsyed/t:history"/>
	<rdf:li rdf:resource="https://pinboard.in/u:arsyed/t:interviews"/>
	<rdf:li rdf:resource="https://pinboard.in/u:arsyed/t:deep-learning"/>
</rdf:Bag></taxo:topics>
</item>
<item rdf:about="http://rodneybrooks.com/forai-the-origins-of-artificial-intelligence/">
    <title>[FoR&amp;AI] The Origins of “Artificial Intelligence” – Rodney Brooks</title>
    <dc:date>2018-05-04T15:24:10+00:00</dc:date>
    <link>http://rodneybrooks.com/forai-the-origins-of-artificial-intelligence/</link>
    <dc:creator>arsyed</dc:creator><dc:subject>ai rodney-brooks history agi</dc:subject>
<dc:source>https://pinboard.in/</dc:source>
<dc:identifier>https://pinboard.in/u:arsyed/b:c66142269200/</dc:identifier>
<taxo:topics><rdf:Bag>	<rdf:li rdf:resource="https://pinboard.in/u:arsyed/t:ai"/>
	<rdf:li rdf:resource="https://pinboard.in/u:arsyed/t:rodney-brooks"/>
	<rdf:li rdf:resource="https://pinboard.in/u:arsyed/t:history"/>
	<rdf:li rdf:resource="https://pinboard.in/u:arsyed/t:agi"/>
</rdf:Bag></taxo:topics>
</item>
<item rdf:about="https://www.laphamsquarterly.org/sites/default/files/images/maps/map.jpg">
    <title>Super Pacts - International treaties, from antiquity to the digital age</title>
    <dc:date>2018-04-30T08:45:27+00:00</dc:date>
    <link>https://www.laphamsquarterly.org/sites/default/files/images/maps/map.jpg</link>
    <dc:creator>arsyed</dc:creator><dc:subject>ir history treaties maps infographics</dc:subject>
<dc:source>https://pinboard.in/</dc:source>
<dc:identifier>https://pinboard.in/u:arsyed/b:68870a554307/</dc:identifier>
<taxo:topics><rdf:Bag>	<rdf:li rdf:resource="https://pinboard.in/u:arsyed/t:ir"/>
	<rdf:li rdf:resource="https://pinboard.in/u:arsyed/t:history"/>
	<rdf:li rdf:resource="https://pinboard.in/u:arsyed/t:treaties"/>
	<rdf:li rdf:resource="https://pinboard.in/u:arsyed/t:maps"/>
	<rdf:li rdf:resource="https://pinboard.in/u:arsyed/t:infographics"/>
</rdf:Bag></taxo:topics>
</item>
<item rdf:about="https://www.facebook.com/WomenInMachineLearning/photos/a.667414053274239.1073741825.115322455150071/1314864275195877/?type=3&amp;theater">
    <title>(7) Women in Machine Learning - Posts</title>
    <dc:date>2018-04-30T01:41:16+00:00</dc:date>
    <link>https://www.facebook.com/WomenInMachineLearning/photos/a.667414053274239.1073741825.115322455150071/1314864275195877/?type=3&amp;theater</link>
    <dc:creator>arsyed</dc:creator><dc:subject>isabelle-guyon svm kernel-trick history</dc:subject>
<dc:source>https://pinboard.in/</dc:source>
<dc:identifier>https://pinboard.in/u:arsyed/b:7dd6fcbb537f/</dc:identifier>
<taxo:topics><rdf:Bag>	<rdf:li rdf:resource="https://pinboard.in/u:arsyed/t:isabelle-guyon"/>
	<rdf:li rdf:resource="https://pinboard.in/u:arsyed/t:svm"/>
	<rdf:li rdf:resource="https://pinboard.in/u:arsyed/t:kernel-trick"/>
	<rdf:li rdf:resource="https://pinboard.in/u:arsyed/t:history"/>
</rdf:Bag></taxo:topics>
</item>
<item rdf:about="https://jeffreykegler.github.io/personal/timeline_v3">
    <title>Parsing: a timeline -- V3.0</title>
    <dc:date>2018-04-19T02:14:26+00:00</dc:date>
    <link>https://jeffreykegler.github.io/personal/timeline_v3</link>
    <dc:creator>arsyed</dc:creator><dc:subject>compsci parsing programming history</dc:subject>
<dc:identifier>https://pinboard.in/u:arsyed/b:cc1e6f656310/</dc:identifier>
<taxo:topics><rdf:Bag>	<rdf:li rdf:resource="https://pinboard.in/u:arsyed/t:compsci"/>
	<rdf:li rdf:resource="https://pinboard.in/u:arsyed/t:parsing"/>
	<rdf:li rdf:resource="https://pinboard.in/u:arsyed/t:programming"/>
	<rdf:li rdf:resource="https://pinboard.in/u:arsyed/t:history"/>
</rdf:Bag></taxo:topics>
</item>
<item rdf:about="https://twitter.com/matt_thorn_en/status/954370209380368384">
    <title>Rachel Matt Thorn #DreamActNow on Twitter: &quot;A bit of thread on the way pages are laid out in Japanese comics. When you think of manga page layouts, you may think “dynamic.” Pages tend to pop more than in other comics. It may look like anything goes, b</title>
    <dc:date>2018-01-24T00:02:17+00:00</dc:date>
    <link>https://twitter.com/matt_thorn_en/status/954370209380368384</link>
    <dc:creator>arsyed</dc:creator><description><![CDATA["In a nutshell, the rule is “Cross the stem of the T before you cross an arm (except when you shouldn’t).” Though hard to explain, almost every Japanese below the age of 60 knows this rule and processes it INSTANTANEOUSLY, yet THEY ARE UTTERLY UNAWARE THAT THEY KNOW SUCH A RULE.
[...]
I would argue that the development of the T Rule helped fuel the manga boom of the 70s and 80s by helping artists pump out pages more quickly and by helping readers read more quickly. (Japanese above the age of 60 can’t read manga this quickly, b/c they never learned the T Rule.)"]]></description>
<dc:subject>comics history japan manga</dc:subject>
<dc:source>https://pinboard.in/</dc:source>
<dc:identifier>https://pinboard.in/u:arsyed/b:680f37feb695/</dc:identifier>
<taxo:topics><rdf:Bag>	<rdf:li rdf:resource="https://pinboard.in/u:arsyed/t:comics"/>
	<rdf:li rdf:resource="https://pinboard.in/u:arsyed/t:history"/>
	<rdf:li rdf:resource="https://pinboard.in/u:arsyed/t:japan"/>
	<rdf:li rdf:resource="https://pinboard.in/u:arsyed/t:manga"/>
</rdf:Bag></taxo:topics>
</item>
<item rdf:about="https://kottke.org/18/01/how-haiti-became-poor">
    <title>How Haiti became poor</title>
    <dc:date>2018-01-12T21:37:56+00:00</dc:date>
    <link>https://kottke.org/18/01/how-haiti-became-poor</link>
    <dc:creator>arsyed</dc:creator><dc:subject>haiti history</dc:subject>
<dc:source>https://pinboard.in/</dc:source>
<dc:identifier>https://pinboard.in/u:arsyed/b:92aa13152dd6/</dc:identifier>
<taxo:topics><rdf:Bag>	<rdf:li rdf:resource="https://pinboard.in/u:arsyed/t:haiti"/>
	<rdf:li rdf:resource="https://pinboard.in/u:arsyed/t:history"/>
</rdf:Bag></taxo:topics>
</item>
<item rdf:about="http://www.nber.org/papers/w23992">
    <title>Trade, Merchants, and the Lost Cities of the Bronze Age</title>
    <dc:date>2017-11-07T19:58:39+00:00</dc:date>
    <link>http://www.nber.org/papers/w23992</link>
    <dc:creator>arsyed</dc:creator><description><![CDATA["We analyze a large dataset of commercial records produced by Assyrian merchants in the 19th Century BCE. Using the information collected from these records, we estimate a structural gravity model of long-distance trade in the Bronze Age. We use our structural gravity model to locate lost ancient cities. In many instances, our structural estimates confirm the conjectures of historians who follow different methodologies. In some instances, our estimates confirm one conjecture against others. Confronting our structural estimates for ancient city sizes to modern data on population, income, and regional trade, we document persistent patterns in the distribution of city sizes across four millennia, even after controlling for time-invariant geographic attributes such as agricultural suitability. Finally, we offer evidence in support of the hypothesis that large cities tend to emerge at the intersections of natural transport routes, as dictated by topography."]]></description>
<dc:subject>history economics trade lost-cities</dc:subject>
<dc:source>https://pinboard.in/</dc:source>
<dc:identifier>https://pinboard.in/u:arsyed/b:ac728881a044/</dc:identifier>
<taxo:topics><rdf:Bag>	<rdf:li rdf:resource="https://pinboard.in/u:arsyed/t:history"/>
	<rdf:li rdf:resource="https://pinboard.in/u:arsyed/t:economics"/>
	<rdf:li rdf:resource="https://pinboard.in/u:arsyed/t:trade"/>
	<rdf:li rdf:resource="https://pinboard.in/u:arsyed/t:lost-cities"/>
</rdf:Bag></taxo:topics>
</item>
<item rdf:about="https://voiceinthemachine.com/">
    <title>THE VOICE IN THE MACHINE | ABOUT COMPUTERS THAT UNDERSTAND SPEECH</title>
    <dc:date>2017-09-09T16:46:11+00:00</dc:date>
    <link>https://voiceinthemachine.com/</link>
    <dc:creator>arsyed</dc:creator><dc:subject>blogs asr speech history siri ai dialogue</dc:subject>
<dc:source>https://pinboard.in/</dc:source>
<dc:identifier>https://pinboard.in/u:arsyed/b:843573ace75e/</dc:identifier>
<taxo:topics><rdf:Bag>	<rdf:li rdf:resource="https://pinboard.in/u:arsyed/t:blogs"/>
	<rdf:li rdf:resource="https://pinboard.in/u:arsyed/t:asr"/>
	<rdf:li rdf:resource="https://pinboard.in/u:arsyed/t:speech"/>
	<rdf:li rdf:resource="https://pinboard.in/u:arsyed/t:history"/>
	<rdf:li rdf:resource="https://pinboard.in/u:arsyed/t:siri"/>
	<rdf:li rdf:resource="https://pinboard.in/u:arsyed/t:ai"/>
	<rdf:li rdf:resource="https://pinboard.in/u:arsyed/t:dialogue"/>
</rdf:Bag></taxo:topics>
</item>
<item rdf:about="https://www.vox.com/2015/6/29/8847385/what-i-learned-from-leading-tours-about-slavery-at-a-plantation">
    <title>I used to lead tours at a plantation. You won’t believe the questions I got about slavery. - Vox</title>
    <dc:date>2017-08-28T23:15:28+00:00</dc:date>
    <link>https://www.vox.com/2015/6/29/8847385/what-i-learned-from-leading-tours-about-slavery-at-a-plantation</link>
    <dc:creator>arsyed</dc:creator><description><![CDATA["On the very small scale of leading historic house tours, what helped me combat ahistorical statements was to establish trust and rapport with guests from the get-go. For me, gentleness was key: It created an environment in which people were willing to hear new views and felt less nervous asking questions. For example, guests — especially older folks — used to ask me all the time whether the people who owned the house were "good slaveowners." I would say, "Well, that's an interesting question," and suggest a couple of reasons why even the phrase good slaveowner itself is troubling. They'd nod and look reflective. We were already friends, so they didn't feel attacked by the correction. Then again, maybe they only believed me because they trusted a fellow white person as an unbiased source. [...]

An older colleague once reminded me to "talk to people, not at them." It's a small piece of advice. But day by day as I was face to face with strangers, challenging their deeply held beliefs on race, it helped."]]></description>
<dc:subject>slavery race history</dc:subject>
<dc:source>https://pinboard.in/</dc:source>
<dc:identifier>https://pinboard.in/u:arsyed/b:c2e5b9bd3d2d/</dc:identifier>
<taxo:topics><rdf:Bag>	<rdf:li rdf:resource="https://pinboard.in/u:arsyed/t:slavery"/>
	<rdf:li rdf:resource="https://pinboard.in/u:arsyed/t:race"/>
	<rdf:li rdf:resource="https://pinboard.in/u:arsyed/t:history"/>
</rdf:Bag></taxo:topics>
</item>
<item rdf:about="https://www.theatlantic.com/politics/archive/2017/06/the-myth-of-the-kindly-general-lee/529038/">
    <title>The Myth of the Kindly General Lee - The Atlantic</title>
    <dc:date>2017-08-22T14:37:50+00:00</dc:date>
    <link>https://www.theatlantic.com/politics/archive/2017/06/the-myth-of-the-kindly-general-lee/529038/</link>
    <dc:creator>arsyed</dc:creator><dc:subject>civil-war history slavery</dc:subject>
<dc:source>https://pinboard.in/</dc:source>
<dc:identifier>https://pinboard.in/u:arsyed/b:ee1a9ba7a93e/</dc:identifier>
<taxo:topics><rdf:Bag>	<rdf:li rdf:resource="https://pinboard.in/u:arsyed/t:civil-war"/>
	<rdf:li rdf:resource="https://pinboard.in/u:arsyed/t:history"/>
	<rdf:li rdf:resource="https://pinboard.in/u:arsyed/t:slavery"/>
</rdf:Bag></taxo:topics>
</item>
<item rdf:about="https://www.vox.com/2015/11/27/9771784/hamilton-cabinet-battle-debt">
    <title>How Lin-Manuel Miranda taught liberals to love Alexander Hamilton - Vox</title>
    <dc:date>2017-08-16T21:31:57+00:00</dc:date>
    <link>https://www.vox.com/2015/11/27/9771784/hamilton-cabinet-battle-debt</link>
    <dc:creator>arsyed</dc:creator><dc:subject>history president hamilton</dc:subject>
<dc:source>https://pinboard.in/</dc:source>
<dc:identifier>https://pinboard.in/u:arsyed/b:123979037a6a/</dc:identifier>
<taxo:topics><rdf:Bag>	<rdf:li rdf:resource="https://pinboard.in/u:arsyed/t:history"/>
	<rdf:li rdf:resource="https://pinboard.in/u:arsyed/t:president"/>
	<rdf:li rdf:resource="https://pinboard.in/u:arsyed/t:hamilton"/>
</rdf:Bag></taxo:topics>
</item>
<item rdf:about="https://www.washingtonpost.com/opinions/trump-is-trying-to-compare-himself-to-andrew-jackson-wrong-andrew/2017/02/08/483d77a8-ee1f-11e6-b4ff-ac2cf509efe5_story.html">
    <title>Trump is trying to compare himself to Andrew Jackson. Wrong Andrew. - The Washington Post</title>
    <dc:date>2017-08-16T21:06:36+00:00</dc:date>
    <link>https://www.washingtonpost.com/opinions/trump-is-trying-to-compare-himself-to-andrew-jackson-wrong-andrew/2017/02/08/483d77a8-ee1f-11e6-b4ff-ac2cf509efe5_story.html</link>
    <dc:creator>arsyed</dc:creator><dc:subject>politics history andrew-johnson</dc:subject>
<dc:source>https://pinboard.in/</dc:source>
<dc:identifier>https://pinboard.in/u:arsyed/b:7b6c4deee17c/</dc:identifier>
<taxo:topics><rdf:Bag>	<rdf:li rdf:resource="https://pinboard.in/u:arsyed/t:politics"/>
	<rdf:li rdf:resource="https://pinboard.in/u:arsyed/t:history"/>
	<rdf:li rdf:resource="https://pinboard.in/u:arsyed/t:andrew-johnson"/>
</rdf:Bag></taxo:topics>
</item>
<item rdf:about="https://archive.org/details/DontBeaS1947">
    <title>Don't Be a Sucker : U.S. War Department : Free Download &amp; Streaming : Internet Archive</title>
    <dc:date>2017-08-15T03:13:31+00:00</dc:date>
    <link>https://archive.org/details/DontBeaS1947</link>
    <dc:creator>arsyed</dc:creator><dc:subject>cold-war race propaganda history</dc:subject>
<dc:source>https://pinboard.in/</dc:source>
<dc:identifier>https://pinboard.in/u:arsyed/b:6fc12d124b09/</dc:identifier>
<taxo:topics><rdf:Bag>	<rdf:li rdf:resource="https://pinboard.in/u:arsyed/t:cold-war"/>
	<rdf:li rdf:resource="https://pinboard.in/u:arsyed/t:race"/>
	<rdf:li rdf:resource="https://pinboard.in/u:arsyed/t:propaganda"/>
	<rdf:li rdf:resource="https://pinboard.in/u:arsyed/t:history"/>
</rdf:Bag></taxo:topics>
</item>
<item rdf:about="https://www.theatlantic.com/entertainment/archive/2017/08/no-confederate/535512/">
    <title>Don't Give HBO's 'Confederate' the Benefit of the Doubt - The Atlantic</title>
    <dc:date>2017-08-13T23:29:55+00:00</dc:date>
    <link>https://www.theatlantic.com/entertainment/archive/2017/08/no-confederate/535512/</link>
    <dc:creator>arsyed</dc:creator><description><![CDATA["The symbols point to something Confederate’s creators don’t seem to understand—the war is over for them, not for us. At this very hour, black people all across the South are still fighting the battle which they joined during Reconstruction—securing equal access to the ballot—and resisting a president whose resemblance to Andrew Johnson is uncanny. Confederate is the kind of provocative thought experiment that can be engaged in when someone else’s lived reality really is fantasy to you, when your grandmother is not in danger of losing her vote, when the terrorist attack on Charleston evokes honest sympathy, but inspires no direct fear. And so we need not wait to note that Confederate’s interest in Civil War history is biased, that it is premised on a simplistic view of white Southern defeat, instead of the more complicated morass we have all around us.
[...]
Indeed, the creators have said that their hope is to use science fiction to “show us how this history is still with us in a way no strictly realistic drama ever could.” And that really is the problem. African Americans do not need science-fiction, or really any fiction, to tell them that that “history is still with us.” It’s right outside our door. It’s in our politics. It’s on our networks. And Confederate is not immune. The show’s very operating premise, the fact that it roots itself in a long white tradition of imagining away emancipation, leaves one wondering how “lost” the Lost Cause really was."]]></description>
<dc:subject>race history</dc:subject>
<dc:source>https://pinboard.in/</dc:source>
<dc:identifier>https://pinboard.in/u:arsyed/b:0bac00e47043/</dc:identifier>
<taxo:topics><rdf:Bag>	<rdf:li rdf:resource="https://pinboard.in/u:arsyed/t:race"/>
	<rdf:li rdf:resource="https://pinboard.in/u:arsyed/t:history"/>
</rdf:Bag></taxo:topics>
</item>
<item rdf:about="http://www.npr.org/sections/money/2014/10/21/357629765/when-women-stopped-coding">
    <title>When Women Stopped Coding : Planet Money : NPR</title>
    <dc:date>2017-08-13T23:16:55+00:00</dc:date>
    <link>http://www.npr.org/sections/money/2014/10/21/357629765/when-women-stopped-coding</link>
    <dc:creator>arsyed</dc:creator><description><![CDATA["A lot of computing pioneers — the people who programmed the first digital computers — were women. And for decades, the number of women studying computer science was growing faster than the number of men. But in 1984, something changed. The percentage of women in computer science flattened, and then plunged, even as the share of women in other technical and professional fields kept rising.
What happened?" ]]></description>
<dc:subject>gender tech history</dc:subject>
<dc:source>https://pinboard.in/</dc:source>
<dc:identifier>https://pinboard.in/u:arsyed/b:f53d50893d8b/</dc:identifier>
<taxo:topics><rdf:Bag>	<rdf:li rdf:resource="https://pinboard.in/u:arsyed/t:gender"/>
	<rdf:li rdf:resource="https://pinboard.in/u:arsyed/t:tech"/>
	<rdf:li rdf:resource="https://pinboard.in/u:arsyed/t:history"/>
</rdf:Bag></taxo:topics>
</item>
<item rdf:about="https://www.the-tls.co.uk/roman-britain-black-white/">
    <title>Roman Britain in Black and White – TheTLS</title>
    <dc:date>2017-08-04T16:51:32+00:00</dc:date>
    <link>https://www.the-tls.co.uk/roman-britain-black-white/</link>
    <dc:creator>arsyed</dc:creator><description><![CDATA["It also feels very sad to me that we cannot have a reasonable discussion on such a topic as the cultural ethnic composition of Roman Britain without resorting to unnecessary insult, abuse, misogyny and language of war not debate (and that includes one senior academic). It’s a bit of a bleak outlook for how we might talk about modern ethnic diversity.
We should reflect, I think."]]></description>
<dc:subject>race rome history twitter culture</dc:subject>
<dc:source>https://pinboard.in/</dc:source>
<dc:identifier>https://pinboard.in/u:arsyed/b:3017d90aeb77/</dc:identifier>
<taxo:topics><rdf:Bag>	<rdf:li rdf:resource="https://pinboard.in/u:arsyed/t:race"/>
	<rdf:li rdf:resource="https://pinboard.in/u:arsyed/t:rome"/>
	<rdf:li rdf:resource="https://pinboard.in/u:arsyed/t:history"/>
	<rdf:li rdf:resource="https://pinboard.in/u:arsyed/t:twitter"/>
	<rdf:li rdf:resource="https://pinboard.in/u:arsyed/t:culture"/>
</rdf:Bag></taxo:topics>
</item>
<item rdf:about="https://tinlizzie.org/histograms/">
    <title>Exploring Histograms, an essay by Aran Lunzer and Amelia McNamara</title>
    <dc:date>2017-08-03T04:56:56+00:00</dc:date>
    <link>https://tinlizzie.org/histograms/</link>
    <dc:creator>arsyed</dc:creator><dc:subject>histogram history visualization via:csantos</dc:subject>
<dc:identifier>https://pinboard.in/u:arsyed/b:8e24126f4b43/</dc:identifier>
<taxo:topics><rdf:Bag>	<rdf:li rdf:resource="https://pinboard.in/u:arsyed/t:histogram"/>
	<rdf:li rdf:resource="https://pinboard.in/u:arsyed/t:history"/>
	<rdf:li rdf:resource="https://pinboard.in/u:arsyed/t:visualization"/>
	<rdf:li rdf:resource="https://pinboard.in/u:arsyed/t:via:csantos"/>
</rdf:Bag></taxo:topics>
</item>
<item rdf:about="http://techtalks.tv/talks/machine-learning-and-neural-nets-at-bell-labs-holmdel/63005/">
    <title>Machine Learning and Neural Nets at Bell Labs, Holmdel - TechTalks.tv</title>
    <dc:date>2017-07-19T15:24:52+00:00</dc:date>
    <link>http://techtalks.tv/talks/machine-learning-and-neural-nets-at-bell-labs-holmdel/63005/</link>
    <dc:creator>arsyed</dc:creator><dc:subject>talks videos neural-net bell-labs history .watch</dc:subject>
<dc:source>https://pinboard.in/</dc:source>
<dc:identifier>https://pinboard.in/u:arsyed/b:140d056225fb/</dc:identifier>
<taxo:topics><rdf:Bag>	<rdf:li rdf:resource="https://pinboard.in/u:arsyed/t:talks"/>
	<rdf:li rdf:resource="https://pinboard.in/u:arsyed/t:videos"/>
	<rdf:li rdf:resource="https://pinboard.in/u:arsyed/t:neural-net"/>
	<rdf:li rdf:resource="https://pinboard.in/u:arsyed/t:bell-labs"/>
	<rdf:li rdf:resource="https://pinboard.in/u:arsyed/t:history"/>
	<rdf:li rdf:resource="https://pinboard.in/u:arsyed/t:.watch"/>
</rdf:Bag></taxo:topics>
</item>
<item rdf:about="https://www.facebook.com/yann.lecun/posts/10154058859142143">
    <title>(4) Yann LeCun - Bayesian neural nets: The Saga. Yarin Gal, a PhD...</title>
    <dc:date>2017-07-18T23:12:31+00:00</dc:date>
    <link>https://www.facebook.com/yann.lecun/posts/10154058859142143</link>
    <dc:creator>arsyed</dc:creator><dc:subject>deep-learning neural-net bayesian history</dc:subject>
<dc:source>https://pinboard.in/</dc:source>
<dc:identifier>https://pinboard.in/u:arsyed/b:b35dccddac99/</dc:identifier>
<taxo:topics><rdf:Bag>	<rdf:li rdf:resource="https://pinboard.in/u:arsyed/t:deep-learning"/>
	<rdf:li rdf:resource="https://pinboard.in/u:arsyed/t:neural-net"/>
	<rdf:li rdf:resource="https://pinboard.in/u:arsyed/t:bayesian"/>
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</item>
<item rdf:about="http://nypesuppe.blogspot.com/2017/06/the-norwegian-who-knew-his-tortoises-so.html">
    <title>Nypesuppe: The Norwegian who knew his tortoises so well that he changed the course of history</title>
    <dc:date>2017-07-17T05:22:41+00:00</dc:date>
    <link>http://nypesuppe.blogspot.com/2017/06/the-norwegian-who-knew-his-tortoises-so.html</link>
    <dc:creator>arsyed</dc:creator><dc:subject>history darwin evolution</dc:subject>
<dc:source>https://pinboard.in/</dc:source>
<dc:identifier>https://pinboard.in/u:arsyed/b:d3f91443b8e5/</dc:identifier>
<taxo:topics><rdf:Bag>	<rdf:li rdf:resource="https://pinboard.in/u:arsyed/t:history"/>
	<rdf:li rdf:resource="https://pinboard.in/u:arsyed/t:darwin"/>
	<rdf:li rdf:resource="https://pinboard.in/u:arsyed/t:evolution"/>
</rdf:Bag></taxo:topics>
</item>
<item rdf:about="https://www.youtube.com/channel/UC2I6Et1JkidnnbWgJFiMeHA">
    <title>Steve1989MREInfo - YouTube</title>
    <dc:date>2017-07-11T07:26:10+00:00</dc:date>
    <link>https://www.youtube.com/channel/UC2I6Et1JkidnnbWgJFiMeHA</link>
    <dc:creator>arsyed</dc:creator><dc:subject>youtube channels rations mre history</dc:subject>
<dc:source>https://pinboard.in/</dc:source>
<dc:identifier>https://pinboard.in/u:arsyed/b:e59c5a4704db/</dc:identifier>
<taxo:topics><rdf:Bag>	<rdf:li rdf:resource="https://pinboard.in/u:arsyed/t:youtube"/>
	<rdf:li rdf:resource="https://pinboard.in/u:arsyed/t:channels"/>
	<rdf:li rdf:resource="https://pinboard.in/u:arsyed/t:rations"/>
	<rdf:li rdf:resource="https://pinboard.in/u:arsyed/t:mre"/>
	<rdf:li rdf:resource="https://pinboard.in/u:arsyed/t:history"/>
</rdf:Bag></taxo:topics>
</item>
<item rdf:about="http://www.earningmyturns.org/2017/06/a-computational-linguistic-farce-in.html">
    <title>Earning My Turns: A (computational) linguistic farce in three acts</title>
    <dc:date>2017-06-19T05:21:15+00:00</dc:date>
    <link>http://www.earningmyturns.org/2017/06/a-computational-linguistic-farce-in.html</link>
    <dc:creator>arsyed</dc:creator><description><![CDATA["One curious byproduct of the empiricist ascendancy that is relevant to the present conflict is that measurement became a virtue in itself, sometimes quite independently of what was really being measured. Many empiricist true believers just want the numbers, regardless of whether they correspond to anything relevant to actual language structure and use. [...]  In summary, a certain metric fetishism arose that still prevails today for instance in conference reviewing, with the result that interesting models and observations are dismissed unless they improve one of the blessed metrics. Metrics became publishing gatekeepers, easy to apply without thinking, and promoting a kind of p-hacking culture that demeaned explanation and error analysis. Worst, for a practitioner, was that all the metrics are averages, when large deviations is what really matters if you are responsible for a product that should have very low chance of doing something really bad.

[...]

Idea! Let's go back to toy problems where we can create the test conditions easily, like the rationalists did back then (even if we don't realize we are imitating them). After all, Atari is not real life, but it still demonstrates remarkable RL progress. Let's make the Ataris of natural language! 

But now the rationalists converted to empiricism (with the extra enthusiasm of the convert) complain bitterly. Not fair, Atari is not real life! 

Of course it is not. But neither is PTB, nor any of the standard empiricist tasks, which try strenuously to imitate wild language (their funding depends on it!) but really fail, as Harris predicted back in the 1950s. Or even the best of descriptive linguistics, which leaves in the murk all those messy deviations from the nice combinatorics of the descriptive model. "]]></description>
<dc:subject>nlp fernando-pereira deep-learning history rationalism empiricism metrics research evaluation</dc:subject>
<dc:source>https://pinboard.in/</dc:source>
<dc:identifier>https://pinboard.in/u:arsyed/b:7a8b82091a68/</dc:identifier>
<taxo:topics><rdf:Bag>	<rdf:li rdf:resource="https://pinboard.in/u:arsyed/t:nlp"/>
	<rdf:li rdf:resource="https://pinboard.in/u:arsyed/t:fernando-pereira"/>
	<rdf:li rdf:resource="https://pinboard.in/u:arsyed/t:deep-learning"/>
	<rdf:li rdf:resource="https://pinboard.in/u:arsyed/t:history"/>
	<rdf:li rdf:resource="https://pinboard.in/u:arsyed/t:rationalism"/>
	<rdf:li rdf:resource="https://pinboard.in/u:arsyed/t:empiricism"/>
	<rdf:li rdf:resource="https://pinboard.in/u:arsyed/t:metrics"/>
	<rdf:li rdf:resource="https://pinboard.in/u:arsyed/t:research"/>
	<rdf:li rdf:resource="https://pinboard.in/u:arsyed/t:evaluation"/>
</rdf:Bag></taxo:topics>
</item>
<item rdf:about="http://www.dlsi.ua.es/~mlf/nnafmc/pbook/node10.html">
    <title>McCulloch and Pitts' neural logical calculus</title>
    <dc:date>2017-06-12T02:27:07+00:00</dc:date>
    <link>http://www.dlsi.ua.es/~mlf/nnafmc/pbook/node10.html</link>
    <dc:creator>arsyed</dc:creator><dc:subject>neural-net perceptron history</dc:subject>
<dc:source>https://pinboard.in/</dc:source>
<dc:identifier>https://pinboard.in/u:arsyed/b:773f8f27a8da/</dc:identifier>
<taxo:topics><rdf:Bag>	<rdf:li rdf:resource="https://pinboard.in/u:arsyed/t:neural-net"/>
	<rdf:li rdf:resource="https://pinboard.in/u:arsyed/t:perceptron"/>
	<rdf:li rdf:resource="https://pinboard.in/u:arsyed/t:history"/>
</rdf:Bag></taxo:topics>
</item>
<item rdf:about="https://pdfs.semanticscholar.org/5272/8a99829792c3272043842455f3a110e841b1.pdf">
    <title>A logical calculus of the ideas immanent in nervous activity</title>
    <dc:date>2017-06-12T02:26:52+00:00</dc:date>
    <link>https://pdfs.semanticscholar.org/5272/8a99829792c3272043842455f3a110e841b1.pdf</link>
    <dc:creator>arsyed</dc:creator><dc:subject>papers classics neural-net neuron history</dc:subject>
<dc:source>https://pinboard.in/</dc:source>
<dc:identifier>https://pinboard.in/u:arsyed/b:4b2374b78ab3/</dc:identifier>
<taxo:topics><rdf:Bag>	<rdf:li rdf:resource="https://pinboard.in/u:arsyed/t:papers"/>
	<rdf:li rdf:resource="https://pinboard.in/u:arsyed/t:classics"/>
	<rdf:li rdf:resource="https://pinboard.in/u:arsyed/t:neural-net"/>
	<rdf:li rdf:resource="https://pinboard.in/u:arsyed/t:neuron"/>
	<rdf:li rdf:resource="https://pinboard.in/u:arsyed/t:history"/>
</rdf:Bag></taxo:topics>
</item>
<item rdf:about="https://drive.google.com/file/d/0B9SNmZvpaGj1NnNsbWhTZUxYSlU/view">
    <title>HistoryOfObjectRecognition.pdf - Google Drive</title>
    <dc:date>2017-06-08T23:34:34+00:00</dc:date>
    <link>https://drive.google.com/file/d/0B9SNmZvpaGj1NnNsbWhTZUxYSlU/view</link>
    <dc:creator>arsyed</dc:creator><dc:subject>infographic object-recognition computer-vision history</dc:subject>
<dc:source>https://pinboard.in/</dc:source>
<dc:identifier>https://pinboard.in/u:arsyed/b:db9de98e2dc1/</dc:identifier>
<taxo:topics><rdf:Bag>	<rdf:li rdf:resource="https://pinboard.in/u:arsyed/t:infographic"/>
	<rdf:li rdf:resource="https://pinboard.in/u:arsyed/t:object-recognition"/>
	<rdf:li rdf:resource="https://pinboard.in/u:arsyed/t:computer-vision"/>
	<rdf:li rdf:resource="https://pinboard.in/u:arsyed/t:history"/>
</rdf:Bag></taxo:topics>
</item>
<item rdf:about="http://www.europeana.eu/portal/en/collections/photography">
    <title>Europeana Photography</title>
    <dc:date>2017-05-30T23:01:10+00:00</dc:date>
    <link>http://www.europeana.eu/portal/en/collections/photography</link>
    <dc:creator>arsyed</dc:creator><dc:subject>photography history archive</dc:subject>
<dc:source>https://pinboard.in/</dc:source>
<dc:identifier>https://pinboard.in/u:arsyed/b:528ab0285cd8/</dc:identifier>
<taxo:topics><rdf:Bag>	<rdf:li rdf:resource="https://pinboard.in/u:arsyed/t:photography"/>
	<rdf:li rdf:resource="https://pinboard.in/u:arsyed/t:history"/>
	<rdf:li rdf:resource="https://pinboard.in/u:arsyed/t:archive"/>
</rdf:Bag></taxo:topics>
</item>
<item rdf:about="https://twitter.com/shivon/status/864889085697024000">
    <title>Shivon Zilis on Twitter: &quot;Always my favourite AI trajectory slide. Pulls it back to fundamentals and highlights the importance of well curated datasets. #TrainAI2017 https://t.co/JuYPziwnku&quot;</title>
    <dc:date>2017-05-18T17:56:30+00:00</dc:date>
    <link>https://twitter.com/shivon/status/864889085697024000</link>
    <dc:creator>arsyed</dc:creator><description><![CDATA["Breakthroughs in AI quickly follow the availability of training data, not algorithm discovery."]]></description>
<dc:subject>ref machine-learning ai data algorithms history progress active-learning stats</dc:subject>
<dc:source>https://pinboard.in/</dc:source>
<dc:identifier>https://pinboard.in/u:arsyed/b:7ba779068c28/</dc:identifier>
<taxo:topics><rdf:Bag>	<rdf:li rdf:resource="https://pinboard.in/u:arsyed/t:ref"/>
	<rdf:li rdf:resource="https://pinboard.in/u:arsyed/t:machine-learning"/>
	<rdf:li rdf:resource="https://pinboard.in/u:arsyed/t:ai"/>
	<rdf:li rdf:resource="https://pinboard.in/u:arsyed/t:data"/>
	<rdf:li rdf:resource="https://pinboard.in/u:arsyed/t:algorithms"/>
	<rdf:li rdf:resource="https://pinboard.in/u:arsyed/t:history"/>
	<rdf:li rdf:resource="https://pinboard.in/u:arsyed/t:progress"/>
	<rdf:li rdf:resource="https://pinboard.in/u:arsyed/t:active-learning"/>
	<rdf:li rdf:resource="https://pinboard.in/u:arsyed/t:stats"/>
</rdf:Bag></taxo:topics>
</item>
<item rdf:about="http://www.cs.toronto.edu/~fritz/absps/pdp8.pdf">
    <title>Rumelhart, Hinton, Williams, &quot;Learning Internal Representations by Error Propagation&quot;</title>
    <dc:date>2017-05-13T02:37:08+00:00</dc:date>
    <link>http://www.cs.toronto.edu/~fritz/absps/pdp8.pdf</link>
    <dc:creator>arsyed</dc:creator><dc:subject>neural-net backprop history deep-learning via:arthegall</dc:subject>
<dc:identifier>https://pinboard.in/u:arsyed/b:255702edcb06/</dc:identifier>
<taxo:topics><rdf:Bag>	<rdf:li rdf:resource="https://pinboard.in/u:arsyed/t:neural-net"/>
	<rdf:li rdf:resource="https://pinboard.in/u:arsyed/t:backprop"/>
	<rdf:li rdf:resource="https://pinboard.in/u:arsyed/t:history"/>
	<rdf:li rdf:resource="https://pinboard.in/u:arsyed/t:deep-learning"/>
	<rdf:li rdf:resource="https://pinboard.in/u:arsyed/t:via:arthegall"/>
</rdf:Bag></taxo:topics>
</item>
<item rdf:about="https://github.com/zzw922cn/awesome-speech-recognition-papers">
    <title>zzw922cn/awesome-speech-recognition-papers: automatic speech recognition paper roadmap, including HMM, DNN, RNN, CNN, Seq2Seq, Attention</title>
    <dc:date>2017-05-01T18:49:16+00:00</dc:date>
    <link>https://github.com/zzw922cn/awesome-speech-recognition-papers</link>
    <dc:creator>arsyed</dc:creator><dc:subject>asr speech neural-net deep-learning history rnn links reading-lists seq2seq</dc:subject>
<dc:source>https://pinboard.in/</dc:source>
<dc:identifier>https://pinboard.in/u:arsyed/b:b0a6050be6b5/</dc:identifier>
<taxo:topics><rdf:Bag>	<rdf:li rdf:resource="https://pinboard.in/u:arsyed/t:asr"/>
	<rdf:li rdf:resource="https://pinboard.in/u:arsyed/t:speech"/>
	<rdf:li rdf:resource="https://pinboard.in/u:arsyed/t:neural-net"/>
	<rdf:li rdf:resource="https://pinboard.in/u:arsyed/t:deep-learning"/>
	<rdf:li rdf:resource="https://pinboard.in/u:arsyed/t:history"/>
	<rdf:li rdf:resource="https://pinboard.in/u:arsyed/t:rnn"/>
	<rdf:li rdf:resource="https://pinboard.in/u:arsyed/t:links"/>
	<rdf:li rdf:resource="https://pinboard.in/u:arsyed/t:reading-lists"/>
	<rdf:li rdf:resource="https://pinboard.in/u:arsyed/t:seq2seq"/>
</rdf:Bag></taxo:topics>
</item>
<item rdf:about="https://arxiv.org/abs/1702.07800">
    <title>[1702.07800] On the Origin of Deep Learning</title>
    <dc:date>2017-02-28T02:59:43+00:00</dc:date>
    <link>https://arxiv.org/abs/1702.07800</link>
    <dc:creator>arsyed</dc:creator><description><![CDATA["This paper is a review of the evolutionary history of deep learning models. It covers from the genesis of neural networks when associationism modeling of the brain is studied, to the models that dominate the last decade of research in deep learning like convolutional neural networks, deep belief networks, and recurrent neural networks, and extends to popular recent models like variational autoencoder and generative adversarial nets. In addition to a review of these models, this paper primarily focuses on the precedents of the models above, examining how the initial ideas are assembled to construct the early models and how these preliminary models are developed into their current forms. Many of these evolutionary paths last more than half a century and have a diversity of directions. For example, CNN is built on prior knowledge of biological vision system; DBN is evolved from a trade-off of modeling power and computation complexity of graphical models and many nowadays models are neural counterparts of ancient linear models. This paper reviews these evolutionary paths and offers a concise thought flow of how these models are developed, and aims to provide a thorough background for deep learning. More importantly, along with the path, this paper summarizes the gist behind these milestones and proposes many directions to guide the future research of deep learning."]]></description>
<dc:subject>papers history deep-learning machine-learning</dc:subject>
<dc:source>https://pinboard.in/</dc:source>
<dc:identifier>https://pinboard.in/u:arsyed/b:f39ceee2409d/</dc:identifier>
<taxo:topics><rdf:Bag>	<rdf:li rdf:resource="https://pinboard.in/u:arsyed/t:papers"/>
	<rdf:li rdf:resource="https://pinboard.in/u:arsyed/t:history"/>
	<rdf:li rdf:resource="https://pinboard.in/u:arsyed/t:deep-learning"/>
	<rdf:li rdf:resource="https://pinboard.in/u:arsyed/t:machine-learning"/>
</rdf:Bag></taxo:topics>
</item>
<item rdf:about="http://www.sarasinstitute.org/Pages/SarInter.html">
    <title>History of Speech and Language Technology</title>
    <dc:date>2017-02-16T03:08:16+00:00</dc:date>
    <link>http://www.sarasinstitute.org/Pages/SarInter.html</link>
    <dc:creator>arsyed</dc:creator><dc:subject>people speech research history</dc:subject>
<dc:source>https://pinboard.in/</dc:source>
<dc:identifier>https://pinboard.in/u:arsyed/b:8b192e6a9ca3/</dc:identifier>
<taxo:topics><rdf:Bag>	<rdf:li rdf:resource="https://pinboard.in/u:arsyed/t:people"/>
	<rdf:li rdf:resource="https://pinboard.in/u:arsyed/t:speech"/>
	<rdf:li rdf:resource="https://pinboard.in/u:arsyed/t:research"/>
	<rdf:li rdf:resource="https://pinboard.in/u:arsyed/t:history"/>
</rdf:Bag></taxo:topics>
</item>
<item rdf:about="https://medium.com/@duncanjwatts/the-non-inevitability-of-donald-trump-and-almost-everything-2a78e764183f#.gmh4q128d">
    <title>The non-inevitability of Donald Trump (and almost everything) – Medium</title>
    <dc:date>2017-01-23T22:30:16+00:00</dc:date>
    <link>https://medium.com/@duncanjwatts/the-non-inevitability-of-donald-trump-and-almost-everything-2a78e764183f#.gmh4q128d</link>
    <dc:creator>arsyed</dc:creator><description><![CDATA["It’s a fascinating analysis, but in focusing so much on errors it inadvertently perpetuates a common assumption in discussions about “what we got wrong” — namely that all along Trump was going to win, and the only reason we didn’t know it sooner is that we weren’t paying attention to the right information."]]></description>
<dc:subject>prediction uncertainty history</dc:subject>
<dc:source>https://pinboard.in/</dc:source>
<dc:identifier>https://pinboard.in/u:arsyed/b:d786412c0aba/</dc:identifier>
<taxo:topics><rdf:Bag>	<rdf:li rdf:resource="https://pinboard.in/u:arsyed/t:prediction"/>
	<rdf:li rdf:resource="https://pinboard.in/u:arsyed/t:uncertainty"/>
	<rdf:li rdf:resource="https://pinboard.in/u:arsyed/t:history"/>
</rdf:Bag></taxo:topics>
</item>
<item rdf:about="http://bayesiandeeplearning.org/slides/nips16bayesdeep.pdf">
    <title>A history of Bayesian neural networks</title>
    <dc:date>2017-01-02T08:21:54+00:00</dc:date>
    <link>http://bayesiandeeplearning.org/slides/nips16bayesdeep.pdf</link>
    <dc:creator>arsyed</dc:creator><dc:subject>neural-net history slides</dc:subject>
<dc:source>https://pinboard.in/</dc:source>
<dc:identifier>https://pinboard.in/u:arsyed/b:c95b79b8f2d2/</dc:identifier>
<taxo:topics><rdf:Bag>	<rdf:li rdf:resource="https://pinboard.in/u:arsyed/t:neural-net"/>
	<rdf:li rdf:resource="https://pinboard.in/u:arsyed/t:history"/>
	<rdf:li rdf:resource="https://pinboard.in/u:arsyed/t:slides"/>
</rdf:Bag></taxo:topics>
</item>
<item rdf:about="http://www.cs.princeton.edu/courses/archive/spr08/cos598B/Readings/Fukushima1980.pdf">
    <title>Neocognitron: A Self-organizing Neural Network Model for a Mechanism of Pattern Recognition Unaffected by Shift in Position</title>
    <dc:date>2016-12-28T05:24:36+00:00</dc:date>
    <link>http://www.cs.princeton.edu/courses/archive/spr08/cos598B/Readings/Fukushima1980.pdf</link>
    <dc:creator>arsyed</dc:creator><description><![CDATA[origin of convolutions to provide rules for neural net for image recognition?]]></description>
<dc:subject>papers neural-net history convnet</dc:subject>
<dc:source>https://pinboard.in/</dc:source>
<dc:identifier>https://pinboard.in/u:arsyed/b:36ad2a53d282/</dc:identifier>
<taxo:topics><rdf:Bag>	<rdf:li rdf:resource="https://pinboard.in/u:arsyed/t:papers"/>
	<rdf:li rdf:resource="https://pinboard.in/u:arsyed/t:neural-net"/>
	<rdf:li rdf:resource="https://pinboard.in/u:arsyed/t:history"/>
	<rdf:li rdf:resource="https://pinboard.in/u:arsyed/t:convnet"/>
</rdf:Bag></taxo:topics>
</item>
<item rdf:about="https://www.washingtonpost.com/news/wonk/wp/2016/11/29/the-real-reason-americans-stopped-spitting-on-asian-americans-and-started-praising-them/">
    <title>The real reasons the U.S. became less racist toward Asian Americans - Jeff Guo</title>
    <dc:date>2016-12-04T04:30:23+00:00</dc:date>
    <link>https://www.washingtonpost.com/news/wonk/wp/2016/11/29/the-real-reason-americans-stopped-spitting-on-asian-americans-and-started-praising-them/</link>
    <dc:creator>arsyed</dc:creator><description><![CDATA["Some people think that racism toward Asians diminished because Asians “proved themselves” through their actions. But that is only a sliver of the truth. Then, as now, the stories of successful Asians were elevated, while the stories of less successful Asians were diminished. As historian Ellen Wu explains in her book, “The Color of Success,” the model minority stereotype has a fascinating origin story, one that’s tangled up in geopolitics, the Cold War and the civil rights movement."]]></description>
<dc:subject>history race asian cold-war model-minority books</dc:subject>
<dc:source>https://pinboard.in/</dc:source>
<dc:identifier>https://pinboard.in/u:arsyed/b:444f7c438eaa/</dc:identifier>
<taxo:topics><rdf:Bag>	<rdf:li rdf:resource="https://pinboard.in/u:arsyed/t:history"/>
	<rdf:li rdf:resource="https://pinboard.in/u:arsyed/t:race"/>
	<rdf:li rdf:resource="https://pinboard.in/u:arsyed/t:asian"/>
	<rdf:li rdf:resource="https://pinboard.in/u:arsyed/t:cold-war"/>
	<rdf:li rdf:resource="https://pinboard.in/u:arsyed/t:model-minority"/>
	<rdf:li rdf:resource="https://pinboard.in/u:arsyed/t:books"/>
</rdf:Bag></taxo:topics>
</item>
<item rdf:about="http://www.jstor.org/stable/285702">
    <title>A Sociological Study of the Official History of the Perceptrons Controversy on JSTOR</title>
    <dc:date>2016-10-23T00:27:37+00:00</dc:date>
    <link>http://www.jstor.org/stable/285702</link>
    <dc:creator>arsyed</dc:creator><dc:subject>papers perceptron neural-net history</dc:subject>
<dc:source>https://pinboard.in/</dc:source>
<dc:identifier>https://pinboard.in/u:arsyed/b:a6f2e97c82d1/</dc:identifier>
<taxo:topics><rdf:Bag>	<rdf:li rdf:resource="https://pinboard.in/u:arsyed/t:papers"/>
	<rdf:li rdf:resource="https://pinboard.in/u:arsyed/t:perceptron"/>
	<rdf:li rdf:resource="https://pinboard.in/u:arsyed/t:neural-net"/>
	<rdf:li rdf:resource="https://pinboard.in/u:arsyed/t:history"/>
</rdf:Bag></taxo:topics>
</item>
<item rdf:about="http://nlp.stanford.edu/projects/histwords/">
    <title>HistWords: Word Embeddings for Historical Text</title>
    <dc:date>2016-09-01T15:23:05+00:00</dc:date>
    <link>http://nlp.stanford.edu/projects/histwords/</link>
    <dc:creator>arsyed</dc:creator><description><![CDATA["HistWords is a collection of tools and datasets for analyzing language change using word vector embeddings. The goal of this project is to facilitate quantitative research in diachronic linguistics, history, and the digital humanities."]]></description>
<dc:subject>software nlp text language word-embedding history</dc:subject>
<dc:identifier>https://pinboard.in/u:arsyed/b:9c6179ced06f/</dc:identifier>
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