Semantris is a word association game powered by machine learning.

Semantic Experiences lets you get hands-on with games and experiments that showcase advances in natural language understanding.

Semantris is a word association game that uses this same technology. Each time you enter a clue, the AI looks at all the words in play and chooses the ones it thinks are most related.

Hangman is a popular word guessing game where the player attempts to build a missing word by guessing one letter at a time. After a certain number of incorrect guesses, the game ends and …

This Python notebook builds a simple text advenutre game inspired by the Adventuron Classroom design by Chris Ainsley of Adventuron Software Limited. The main components are: The …

If you’re interested in making games that take advantage of Semantic ML, you should take a look at Semantris, which uses the same technology to detect word associations. You can …

These embeddings are created by training a neural network model to predict the context around a target word (the target word is the one we're trying to make an embedding for). The first word …

CBOW (Continuous Bag of Words) In this method, given the surrounding context words based on a given window_size, we predict the target word. That means we will be predicting next word …

GloVe is an unsupervised learning algorithm for obtaining vector representations for words. Training is performed on aggregated global word-word co-occurrence statistics from a corpus, …

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