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Building a Semantic Search Engine and Open-Status Classifier over the ResearchMath-14k Dataset

Building a Semantic Search Engine and Open-Status Classifier over the ResearchMath-14k Dataset

A tutorial shows an NLP pipeline for the ResearchMath-14k dataset. It uses TF-IDF, sentence embeddings, UMAP, and K-Means to build a semantic search engine, classify problem open status, and find near-duplicate math problems by similarity.

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