WordNet Reviews and Details

Social recommendations and mentions

• Roget's Thesaurus

  As a interesting tangent consider the data structure and the data behind a thesaurus. I was using the wordnet data for a project. https://wordnet.princeton.edu My first pass was to do the modern thing and just load the entire data into memory, it would fit with no problem. But when I noticed their screwball dataformat was designed to be dynamically accessed from disk I could not resist and rewrote the whole thing... - Source: Hacker News / 20 days ago

• StarDict sends X11 clipboard to remote servers

  I recently found wordnet through an offline dictionary/thesaurus program and thought it was pretty neat project. https://wordnet.princeton.edu/ For my use case I was more interested in the database than the application and am unable to comment on how usable it is, but will include a link if you want to look. https://sourceforge.net/projects/artha/. - Source: Hacker News / about 1 year ago

• Show HN: Semantic Calculator (King-Man+woman=?)

  Thank you! I actually had a hard time finding prior work on this, so I appreciate the references. The dictionary is based on https://wordnet.princeton.edu/, no word2vec. It's just plain lookup among precomputed embeddings (with mxbai-embed-large). And yes, I'm excluding words that are present in the query because. It would be interesting to see how other models perform. I tried one (forgot the name) that was... - Source: Hacker News / over 1 year ago

• 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 / over 2 years 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 / over 2 years ago

• GraphWords: Visual Dictionary and Thesaurus

  If you like this, definitely check out WordNet (https://wordnet.princeton.edu/). - Source: Hacker News / over 2 years 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 3 years 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 3 years ago

• Any online dictionary to spell-check for anachronistic words?

  That is a... Very interesting idea for a product. Possibly something that the loony linguists at Princeton might do... If they weren't already too busy to be bothered. Or the other nerds at the Univ. Of Rome. Source: over 3 years ago

• Hey I wanna create a chat bot using django to automate responses regarding customer service in a app, any insight on how that would be made and what I would need??

  Anything you do here too will help your brain: https://wordnet.princeton.edu/. Source: almost 4 years ago

• A dictionary for the terminal !

  Pretty slick. Reminds me of wn (wordnet) which has a CLI interface and I was a bit surprised at the disk-space cost that wn entailed (something like 70MB), but it makes sense if you have the whole DB worth of stuff. Source: about 4 years ago

• Does google have an internal ontological database?

  I can't speak to Google's approach, but Princeton has WordNet, which sounds exactly like what you're looking for. Source: about 4 years ago

• Are there any English dictionaries (preferably contemporary) that are in public domain?

  Ok so here is what I could find Wordnet which says you can use the contents of it in whatever you like: https://wordnet.princeton.edu. Source: about 4 years ago

• Is there a database defining a map between words and their abstractions?

  WordNet is a corpus of words, their different senses and relations between them. They are forming a tree, so that you can extract hypernyms by going up one level and get hyponyms the other way around. You can access it using the nltk python library. Here are some examples on how to use it. Source: about 4 years ago

• A small experiment with DoH in browser

  I used Node.js, WordNet data source for the dictionary and Cloudflare open DNS which is capable of DoH. - Source: dev.to / over 4 years ago

• Show HN: Idea ramen – a little different domain name generator

  Yes there is a lot of work to be done. Dictionary is taken from WordNet project as is https://wordnet.princeton.edu/ See the disclaimer on the site (https://idearamen.com/) which mentions this specifically. WordNet has over 170k words, so not an easy feat to work it out. I guess I can add some filters to start with. - Source: Hacker News / over 4 years ago

• What dictionary site do you use?

  For an open content dictionary, I recommend WordNet, by Princeton University, which has an online edition as well as a downloadable version and various interfaces. The project isn't a dictionary per se, but a project to map words according to their conceptual relationships like hypernyms, synonyms, and antonyms. The quality will be more consistent than from crowdsourced projects like Wiktionary or FreeDict. It... Source: over 4 years ago

• [D] Word Meaning Dictionary Dataset

  Have you checked out wordnet: https://wordnet.princeton.edu/? It is a dataset where words are grouped into sets of synonyms where each set expresses a distinct concept. Source: over 4 years ago

• My Wano Tier List, let me know what you would change

  I got my definition from Princeton University’s WordNet, which details the semantic relationship between “deflect” and “block.”. Source: over 4 years ago

• Where can I find a word-pair list for a Lexical Decision Task?

  Without knowing more about what you're looking for, it's hard to make any recommendations. But, you might have luck querying WordNet or using some of the databases that Goh et al. (2016) used. Source: over 4 years ago

• Help needed

  WordNet is used to "teach" the system the relationships between various words, and it is the pool of words (mostly nouns) which were used to categorize and label all of the images in the database: Https://wordnet.princeton.edu/. Source: over 4 years ago