If the Scoring Type is set to Partial Match, the formula for scoring the question is: Select Partial Match to award points relative to the number of blanks the student responds to correctly. This option allocates 100 percent of the possible points for correctly responding to each blank, and zero points if the student responds to one or more blank(s) incorrectly. Select Exact Match to require that the student responds to all blanks correctly. If your question has more than one blank, choose your Scoring Type for the question after you have entered the correct responses to each blank. Decreasing the maximum character length will also shorten the length of the input boxes (default is 40 characters).Įnable Case Sensitive to consider capitalization during scoring. Correct Answer SetupĮnter the correct term into the blank cell(s) in Correct Answer Setup.Ĭlick the + button at the top of Correct Answer Setup to enable an additional set of acceptable responses to the blanks in the question.Ĭlick into the percentage field to the right of the additional answer to determine whether the alternate answer is worth partial credit and to set the percentage of possible points students can receive for this answer accordingly. Add additional underscores to add multiple blanks in the question. To generate a blank when creating this type of question, type an underscore (_) into the text field or click the Insert Response button in the stimulus toolbar. Each underscore corresponds to an answer blank under Correct Answer Setup. Hover your mouse over the individual icons to view the tooltip explaining the function of each button. Use the Rich Text Editor, which appears when you click into the field, to apply formatting such as bold and italics, or to insert images or tables. Shortz, who commissions and edits the puzzles, will include one with a quirky twist to try to stump the computer.Use the Fill in the Blank Text question type to enable students to write responses in empty text fields in a question.Įnter your question into the Question Setup field. Ginsberg, whose hobby is constructing crossword puzzles, including more than two dozen published in The New York Times.ĭan Feyer, an ace solver who has won the last two tournaments, is betting that Mr.
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Fill, a bundle of computer code on a notebook computer. Shortz said, would “slap your head and say, ‘Oh, now I get it.’” Not so for Dr. But spoonerized, it becomes RIGHT LAIN.Īn expert human solver, Mr. So a clue might be heavy mist, and a logical answer would be LIGHT RAIN. Fill was flummoxed by a puzzle from a previous tournament that had the theme of spoonerisms - the switching of first letters in two words. Fill, and perhaps its comeuppance, will come from the harder puzzles, especially those with the tricky themes or wordplay.ĭr. Fill will kill the field,” said Will Shortz, the tournament director and the crossword puzzle editor for The Times, who has seen a demonstration of Dr. The Z, though, might conflict with a higher-probability answer in a crossing word, going down, which would put W in that space. Fill calculates the 100 most probable answers, based on a number of factors, including how prevalent one of its millions of crossword-related words is in Google’s directory of the Web.įor example, its initial best guess for a five-letter word across might be BEZEL, Dr. If it spots a match, that is a sure thing. Fill taps a database of millions of answers and clues. Some of the statistical techniques in this work are also handy, it turns out, for solving crossword puzzles.Ī typical puzzle might have 75 words, and up to 10,000 words in the dictionary with the same number of letters as each word in the space, down or across, for the answer. Ginsberg’s real job is chief executive of On Time Systems, in Eugene, Ore., whose software, used by the United States Air Force, helps in tasks like calculating the most efficient flight paths for aircraft. Watson, for example, is being adapted for business uses, first in health care to assist doctors in making diagnoses.ĭr. “But what really matters is where it is taking us.” researcher who led the development of Watson, the “Jeopardy!” computer champion. “Games are a great motivator for artificial intelligence - they push things forward,” said David Ferrucci, the I.B.M. Are These People Real?: We created our own artificial-technology system to understand how easy it is for a computer to generate fake faces.But the system can get it wrong, and the consequences are serious. Photo Surveillance: Google has an automated tool to detect abusive images of children.systems can process vast amounts of data in seconds, but they can’t make sense of the world. It’s time to start taking its potential and risks seriously, our technology columnist writes. Making Strides: We’re in a golden age of progress in artificial intelligence.
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