In this paper, we propose a new method for knowledge base completion (KBC): instance-based learning (IBL). For example, to answer (Jill Biden, lived city,?

In this paper, we propose a new method for knowledge base completion (KBC): instance-based learning (IBL). For example, to answer (Jill Biden, lived city,?

For years, conservative media, lawmakers and talking heads have been sounding the alarm about President Joe Biden's cognitive free fall. And for years, left-wing media, lawmakers and their loyal mouthpieces waved it off with the same condescending dismissal -- accusing us of lying, fear-mongering or worse. Some even went so far as to say they couldn't keep up with Biden's supposed brilliance and jam-packed schedule of what was mostly just one morning briefing and two mid-afternoon naps. Now that Biden has shuffled out of office, left-wing media seems to be waking up to the glaringly obvious. The New York Times of all places -- yes, the same paper that acted as Biden's PR firm -- has revealed that he relied on teleprompters during intimate fundraisers in private homes.

In this paper, we propose a new method for knowledge base completion (KBC): instance-based learning (IBL). For example, to answer (Jill Biden, lived city,? Through prototype entities, IBL provides interpretability. We develop theories for modeling prototypes and combining IBL with translational models. Experiments on various tasks confirmed the IBL model's effectiveness and interpretability.In addition, IBL shed light on the mechanism of rule-based KBC models.

'Gutfeld!' panelists react to the media claiming President Biden videos are deepfakes. Welcome to the hoax hoax. Where in the run-up to the election our media circles the wagons around a dithering Joe Biden to convince us that what we see with our own eyes isn't real. This year's hoax hoax even comes with a whole new buzz term – "cheap fake." A word that allows the left to confuse people with deep fake without actually lying.

Independent presidential candidate Robert F. Kennedy, Jr. tells'Jesse Watters Primetime' it may be Biden's time to retire. Independent presidential candidate Robert F. Kennedy, Jr., was asked whether he believes President Biden should step aside at the end of his first term after a special counsel's report found him to be an "elderly man with poor memory." Kennedy told Fox News if he were in Biden's position, he would hope someone in his own family would politely suggest he step away from the political limelight if his mental acuity is as diminished as special counsel Robert Hur suggested. "I think anybody can make up their mind about [Biden's situation] as well as I can. I hope that if he has the kind of cognitive challenges that the special counsel indicated he has, and if I were in that position, a member of my family or staff would approach me and assist me in gently stepping down," Kennedy said on "Jesse Watters Primetime."

In this paper, we propose a new method for knowledge base completion (KBC): instance-based learning (IBL). For example, to answer (Jill Biden, lived city,? ), instead of going directly to Washington D.C., our goal is to find Joe Biden, who has the same lived city as Jill Biden. Through prototype entities, IBL provides interpretability. We develop theories for modeling prototypes and combining IBL with translational models. Experiments on various tasks confirmed the IBL model's effectiveness and interpretability. In addition, IBL shed light on the mechanism of rule-based KBC models. Previous research has generally agreed that rule-based models provide rules with semantically compatible premises and hypotheses. We challenge this view. We begin by demonstrating that some logical rules represent {\it instance-based equivalence} (i.e. prototypes) rather than semantic compatibility. These are denoted as {\it IBL rules}. Surprisingly, despite occupying only a small portion of the rule space, IBL rules outperform non-IBL rules in all four benchmarks. We use a variety of experiments to demonstrate that rule-based models work because they have the ability to represent instance-based equivalence via IBL rules. The findings provide new insights of how rule-based models work and how to interpret their rules.

On Dec. 11, the Wall Street Journal published an op-ed by Joseph Epstein claiming that Jill Biden's use of the title "Dr." feels "fraudulent, even comic," and referring to her as "kiddo." The tone of the piece is all too familiar to women, especially Black and brown women, across academia, who know what it feels like to be constantly questioned about their expertise from peers and strangers alike. The article led to an uproar, with academics across disciplines calling out its sexism and snobbery. Responses in the Atlantic, the New York Times, Forbes, and elsewhere argued that Biden should ignore Epstein's advice to "consider stowing" her degree and stick to her honorific. Academia is no stranger to overt and subtle sexism, which can manifest through student evaluations or even how women academics are introduced during speaking engagements.