Dictionary.com VS WordNet

American Heritage is much better. They respond to usage, but much more conservatively. And their entries will actually have brief explanations from their "usage panel" about ambiguous or changing meanings. https://dictionary.com. - Source: Hacker News / 2 days ago

I don't know what to say. The act of making a choice is just to "select from two or more possibilities," as dictionary.com puts it. We do that. Cats and dogs and birds do that. Single cell amoebas do that. Trees can even be said to do that. And certainly computers do that. Even the problem Sam Harris is stating above is in the form of an if-then statement, the fundamental conditional statement upon which... Source: 5 months ago

Yeah, here's what dictionary.com says about the phrase's origins:. Source: 5 months ago

My wife set up a bunch of her mature vines hanging down from our entrance staircase (both sides). On the left is about a five year old String of Hearts, then Monstera (only a couple of years old), then Pothos (about five years old). The String of Hearts is about 10 feet long, but seems to still get nutrients and moisture to the end. The pothoses (strangely, that is what dictionary.com says is the plural of... Source: 5 months ago

This word is very interesting. I came across it in a comic. Oxford Advanced Learner's Dictionary's definition seems like a synonym of immediate, but dictionary.com's definition seems more suitable for the comic. Source: 8 months ago

TL;DR: The authors pretrain the model to classify images into Wordnet synsets[a] that appear in the caption, using a standard Cross Entropy loss. They keep the number of classes relatively small by removing any synsets that don't show up in captions at least 500 times in the dataset. It seems to work well. My immediate question is: Why not classify among the entire hierarchy of all Wordnet synsets? --- [a]... - Source: Hacker News / 6 days ago

To operationalize this intuition, the Microsoft and UC Berkeley researchers use WordNet and Wiktionary to augment the text in image-text pairs. The concept itself is augmented for isolated concepts, such as the class labels in ImageNet, whereas for captions (such as from GCC), the least common noun phrase is augmented. Equipped with this additional structured knowledge, contrastively pretrained models exhibit... - Source: dev.to / about 2 months ago

If you like this, definitely check out WordNet (https://wordnet.princeton.edu/). - Source: Hacker News / 4 months ago

I didn't understand well what you meant, but maybe this site can help you: https://wordnet.princeton.edu/. Source: about 1 year ago

What I'd do is work with a huge database like WordNet and then try to "extrapolate" BIP39 to 4096 words by creating queries against WordNet to obtain words meeting the constraints you'd like to keep. Source: over 1 year ago