Wikipedia2Vec

Wikipedia2Vec is an embedding learning tool that creates word and entity vector representations from Wikipedia, enabling NLP models to leverage structured and contextual knowledge.

Features

Generates word and entity embeddings from Wikipedia corpus
Open-source and designed for NLP research and knowledge-based tasks
Supports joint learning of word and entity representations
Works with both structured (infoboxes) and unstructured text
Provides pretrained models for various languages
Compatible with deep learning frameworks like PyTorch and TensorFlow

Project Samples

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License

Apache License V2.0

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Additional Project Details

Operating Systems

Linux, Mac, Windows

Programming Language

Python

Related Categories

Python Natural Language Processing (NLP) Tool

Registered

2025-01-24

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Wikipedia2Vec

A tool for learning vector representations of words and entities

Features

Project Samples

Project Activity

Categories

License

Follow Wikipedia2Vec

User Reviews

Additional Project Details

Operating Systems

Programming Language

Related Categories

Registered