DigiNews

Summary

The article explains how to build a solver for Semantle by leveraging 300-dimensional word embeddings (GoogleNews vectors) and cosine similarity. It describes a geometric filtering approach on the embedding space, an elimination algorithm that prunes candidates after each guess, and provides code snippets and a concrete example showing how the solver can find the target word in a few guesses.