Adonis Diaries

Posts Tagged ‘Martin Anderson

Tidbits and notes posted on FB and Twitter. Part 174

Note: I take notes of books I read and comment on events and edit sentences that fit my style. I pa attention to researched documentaries and serious links I receive. The page is long and growing like crazy, and the sections I post contains a month-old events that are worth refreshing your memory.

In Paper Machines: About Cards & Catalogs, 1548-1929author Markus Krajewski pegs the invention of the index card not to Linnaeus, but to his predecessor Konrad Gessner, “a sixteenth-century Swiss polymath who described a new method of processing data: to cut up a sheet of handwritten notes into slips of paper, with one fact or topic per slip, and arrange as desired.”

The index card has remained virtually unchanged for the past 250 years.

Vladimir Nabokov wrote nearly all of his books on index cards and filed them in shoeboxes. The method allowed him to write non-linearly—he could add cards as he felt like working on certain plot-lines or chapters, often while his wife chauffeured him around the country to hunt for butterflies.

French libraries initially used playing cards to catalog books, before transitioning to index cards in the 19th century.

Ronald Reagan was well known for his quips and anecdotes, but they weren’t made off the cuff. For decades, Reagan kept a collection of note cards filled with one-liners, statistics, jokes, and quotes.

Martin Anderson, Reagan’s former domestic advisor, says that the Gipper used his cards to create speeches in a matter of minutes. He would “pore over the packs of cards, then pluck a few cards from one pack, a few from another, and combine them,” Anderson said. “The system was as flexible as a smooth gold chain.”

All gin is flavored with juniper berries. The other ingredients—from rye, barley, wheat, and corn to cinnamon, ginger, anise, and coriander—are optional. But a neutral opinion on the complex and controversial spirit known as “Madame Geneva” is not. (Reminding me of Blinders series where deals with US mafia were struck to ship gin during the Prohibition)

Europe history is plagued with countless Queens and Imperial wives  assassinated in order to get a Male heir. The half dozen women who managed to grab absolute power were greater than all the Kings, without exception.

Do I have my footprint in social media? It’s imperfectible too. I need to share my opinions and spread my rage on injustice observed around the world.

President Lincoln sent this letter to the General: “My dear McClellan: If you don’t want to use the Army I should like to borrow it for a while.”

Next country the US is planning to destabilize is Pakistan. A decade of troubles to China and Russia?

The confessional and religious divisions embedded in Lebanon’s system (since its creation) along with political familism[3] contribute to restrain the effective participation and emergence of new actors, notably women, thus limiting political turnover.

Charbel Khalil, fi 7alkat Kade7 wa Jam 3ala Jaddeed, awsala eshme2zaaz al mouwaten fi Beit-Chabab 3ala ehmal al baladiyyat: jame3 zbalat wa kabha fi al tabi3at, wa tantahi fi majra Nahr al Kalb

It is tonight at 9 pm on Al Mayadeen, Sunday 28, 2018. Watha2iki 3an hezeb Souri kawmi ejtima3i bi Souriya

Why sarcasm is such a problem in artificial intelligence

“Any computer which could reliably perform this kind of filtering could be argued to have developed a sense of humor.”

Thu 11 Feb 2016

Automatic Sarcasm Detection: A Survey [PDF] outlines ten years of research efforts from groups interested in detecting sarcasm in online sources.

The problem is not an abstract one, nor does it centre around the need for computers to entertain or amuse humans, but rather the need to recognise that sarcasm in online comments, tweets and other internet material should not be interpreted as sincere opinion.

The need applies both in order for AIs to accurately assess archive material or interpret existing datasets, and in the field of sentiment analysis, where a neural network or other model of AI seeks to interpret data based on publicly posted web material.

Attempts have been made to ring-fence sarcastic data by the use of hash-tags such as #not on Twitter, or by noting the authors who have posted material identified as sarcastic, in order to apply appropriate filters to their future work.

Some research has struggled to quantify sarcasm, since it may not be a discrete property in itself – i.e. indicative of a reverse position to the one that it seems to put forward – but rather part of a wider gamut of data-distorting humour, and may need to be identified as a subset of that in order to be found at all.

Most of the dozens of research projects which have addressed the problem of sarcasm as a hindrance to machine comprehension have studied the problem as it relates to the English and Chinese languages, though some work has also been done in identifying sarcasm in Italian-language tweets, whilst another project has explored Dutch sarcasm.

The new report details the ways that academia has approached the sarcasm problem over the last decade, but concludes that the solution to the problem is not necessarily one of pattern recognition, but rather a more sophisticated matrix that has some ability to understand context.

Any computer which could reliably perform this kind of filtering could be argued to have developed a sense of humor.

Note: For AI machine to learn, it has to be confronted with genuine sarcastic people. And this species is a rarity




November 2020

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