Based on our record, Google Scholar seems to be a lot more popular than WordNet. While we know about 999 links to Google Scholar, we've tracked only 28 mentions of WordNet. 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.
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
A few may know, that google scholar(https://scholar.google.com/) does not offer a feature for arranging the search results based on the number of citations. Several years ago, one developer published a Python code (https://github.com/WittmannF/sort-google-scholar) to handle this. I had been inspired by his work, but I wanted to show the list of... - Source: Hacker News / 2 months ago
To that point, https://scholar.google.com/ is still useful. - Source: Hacker News / 4 months ago
1) find the doi number [1a][1b] 2) find sources that cite the doi number -> google scholar[2][3] 3) filter for 'github' ----- [1a]resolve a doi name : https://dx.doi.org/ [1b]find a doi number : https://answers.lib.iup.edu/faq/31945 [2] : https://scholar.google.com/ [3] : google with "site:http://doi.org/" [4] : finding a doi in document page :... - Source: Hacker News / 6 months ago
Half of those are about science, during my Ph.D., I was told to use scholar.google.com, which works great as far as I can tell. Couple it to sci-hub and you get all the scientific literature you need. Source: 6 months ago
Scholar.google.com exists also which is what you use for studies. Source: 6 months ago
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PubMed.gov - PubMed comprises more than 29 million citations for biomedical literature from MEDLINE, life science journals, and online books. Citations may include links to full-text content from PubMed Central and publisher web sites.
Artha - Artha is a handy thesaurus based on WordNet with distinct features like global hotkey look-up...
SCI-HUB - It provides mass and public access to tens of millions of research papers
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.
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