Describing Words VS WordNet
Compare Describing Words VS WordNet and see what are their differences
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Describing Words
Eunoia
Rosetta Stone
Accountanalysis
Analyze Words
Words For That
Fire Your Boss
Deep Learning Gallery
WordNet
VerbAce
Artha
WordWeb
GoldenDict
Power Thesaurus
Merriam-Webster
Glosbe
Describing Words WordNetBased on our record, WordNet should be more popular than Describing Words. It has been mentiond 28 times since March 2021. We are tracking product recommendations and mentions on various public social media platforms and blogs. They can help you identify which product is more popular and what people think of it.
I love https://describingwords.io/ and https://www.wordhippo.com/ as helpful writing tools. Source: 6 months ago
Describingwords.io: Pretty self-explanatory - you enter a noun and it provides adjectives you can use to describe it. Really helpful if you struggle with repeating adjectives because you can't find any alternatives. Source: about 1 year ago
DescribingWords.io “Which noun would you like to describe? Click words for definitions.”. Source: about 1 year ago
Https://describingwords.io is really helpful to me for these kinds of thing! Inputting laughter, I got: unrestrained, heartless, shrill, contemptuous, manical, loud, among others. Source: about 2 years ago
I had to look at mine and count, out of curiosity. Six story tabs, a thesaurus tab, two other word-selection tabs (describingwords.io and relatedwords.org), and a lyrics/lines tab for titling. Then fucking AO3 tabs for READING bc of COURSE. :D. Source: over 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 / about 2 months 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 / 3 months ago
If you like this, definitely check out WordNet (https://wordnet.princeton.edu/). - Source: Hacker News / 6 months ago
I didn't understand well what you meant, but maybe this site can help you: https://wordnet.princeton.edu/. Source: over 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
Eunoia - Words that don't translate
VerbAce - VerbAce-Pro is an easy-to-use Desktop Translation Software. Translate in a mouse click
Rosetta Stone - Rosetta Stone is the world's most popular software for learning languages. It is offered at a cost of just $169 when purchased outright, but it is also possible to purchase language programs in a subscription format that offers ongoing support.
Artha - Artha is a handy thesaurus based on WordNet with distinct features like global hotkey look-up...
Accountanalysis - A tool to evaluate Twitter accounts
WordWeb - One-click lookup in any almost any Windows program; Hundreds of thousands of definitions and synonyms; The latest international English words; Works offline, or reference to Wikipedia and web references.