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WordNet VS Unpaywall

Compare WordNet VS Unpaywall and see what are their differences

WordNet logo WordNet

WordNet® is a large lexical database of English.

Unpaywall logo Unpaywall

Legally read research papers behind paywalls.
  • WordNet Landing page
    Landing page //
    2022-07-23
  • Unpaywall Landing page
    Landing page //
    2023-10-16

WordNet videos

NLTK Python 3 - WORDNET CORPUS Lexical Database Explained

More videos:

  • Review - Wordnet P126,Review: Units 9 & 10 P 128

Unpaywall videos

How to Access Research Articles for FREE with Unpaywall

More videos:

  • Review - Must-Have Browser Extensions: Unpaywall + LibKeyNomad | Your Librarian Friend
  • Review - Testing Unpaywall

Category Popularity

0-100% (relative to WordNet and Unpaywall)
Dictionary
100 100%
0% 0
Productivity
0 0%
100% 100
Online Dictionary
100 100%
0% 0
Education
0 0%
100% 100

User comments

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Reviews

These are some of the external sources and on-site user reviews we've used to compare WordNet and Unpaywall

WordNet Reviews

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Unpaywall Reviews

14 Websites to Download Research Paper for Free – 2024
GetTheResearch.org is an Artificial Intelligence(AI) powered search engine for search and understand scientific articles for researchers and scientists. It was developed as a part of the Unpaywall project. Unpaywall is a database of 23,329,737 free scholarly Open Access(OA) articles from over 50,000 publishers and repositories, and make it easy to find, track, and use.

Social recommendations and mentions

Based on our record, Unpaywall should be more popular than WordNet. It has been mentiond 44 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.

WordNet mentions (28)

  • CatLIP: Clip Vision Accuracy with 2.7x Faster Pre-Training on Web-Scale Data
    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
  • A History of CLIP Model Training Data Advances
    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
  • GraphWords: Visual Dictionary and Thesaurus
    If you like this, definitely check out WordNet (https://wordnet.princeton.edu/). - Source: Hacker News / 6 months ago
  • i was looking for a site where i could add characteristics of a words and then i could search for another words like that word.
    I didn't understand well what you meant, but maybe this site can help you: https://wordnet.princeton.edu/. Source: over 1 year ago
  • Seeking a robust English word-list of length 4096 for encoding
    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
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Unpaywall mentions (44)

  • First time a vacuum was ever created in a laboratory
    You might also find this interesting: https://unpaywall.org/. Source: 7 months ago
  • Black holes eat faster than previously expected
    > can you detail what the possible issue is? Why? Are you in a position to help everyone? (As you probably guessed while reading the comment you replied to, I don't really need help; more on that below). "Occasional" is not universal; as you aren't getting the problem in a here-and-now sense you can probably play around with the "here" part by using Tor Browser to see if you can get to the article via the link... - Source: Hacker News / 9 months ago
  • I am fuckin tired of every other short or video of being about another useless gpt promt or extension. Please give me better trusted resources
    There are many of course the problem is that the ai hallucination problem is still a huge issue. For instance, getting all of https://unpaywall.org/ or something similar into an LLM would be a boon for scientists, but... If you can't trust what it is saying you will end up going back to pull the source anyway. The analysis it provides would probably be helpful though. Source: about 1 year ago
  • Can the light from my grow light pass through The Gnat Preventive Chamber™ to the plants inside?
    For problem 1. I can recommend this browser extension: https://unpaywall.org/ it basically redirects you to a legally available free version of any article you are looking at, if it can find one. Source: about 1 year ago
  • Got a pub and can’t even view the full text article
    Try this: https://unpaywall.org, it’s legal. Source: about 1 year ago
View more

What are some alternatives?

When comparing WordNet and Unpaywall, you can also consider the following products

VerbAce - VerbAce-Pro is an easy-to-use Desktop Translation Software. Translate in a mouse click

SCI-HUB - It provides mass and public access to tens of millions of research papers

Artha - Artha is a handy thesaurus based on WordNet with distinct features like global hotkey look-up...

arXiv - arXiv is a free distribution service and an open-access archive for scholarly articles.

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.

12 Foot Ladder - Prepend 12ft.io/ to the URL of any paywalled page, and we'll try our best to remove the paywall and get you access to the article.