The Free Dictionary VS WordNet

My post was completely serious though. I checked duckduckgo, thefreedictionary.com, and windows search. None of them knew of this word. I don't use Google and am on a PC where long tapping is not a thing. Source: about 1 year ago

Does anyone know of a website to find antonyms of idioms? All that's comes up in search results are literally antonyms for the word idiom. thefreedictionary.com has an idiom section and suggests similar idioms to which you have searched, but that's about it. Source: over 1 year ago

I know that I know more, sometimes I forget I know it. thefreedictionary.com has a graphical Thesaurus. Take the word Good for example. It breaks it down into five words: Excellent, Sensible, Fine, Proficient, Positive. Then it has off-shoots for each of those five. I like it for the nuanced deceptions of how worlds are related. Source: over 1 year ago

Anyway, thefreedictionary.com is using an obsolete definition for adversion which used to mean "turn toward" or "give attention". Source: over 1 year ago

Definition of life in thefreedictionary.com: The property or quality that distinguishes living organisms from dead organisms and inanimate matter, manifested in functions such as metabolism, growth, reproduction, and response to stimuli or adaptation to the enviroment. Try to tell me a single of this qualities that is not present in a human fetus. Spoiler: The reproduction one isn't viable because if it was,... Source: about 2 years 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 / 5 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