Box Embeddings: An open-source library for representation learning using geometric structures
2021-09-10EMNLP (ACL) 2021Code Available1· sign in to hype
Tejas Chheda, Purujit Goyal, Trang Tran, Dhruvesh Patel, Michael Boratko, Shib Sankar Dasgupta, Andrew McCallum
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- github.com/iesl/box-embeddingsOfficialIn paperpytorch★ 111
Abstract
A major factor contributing to the success of modern representation learning is the ease of performing various vector operations. Recently, objects with geometric structures (eg. distributions, complex or hyperbolic vectors, or regions such as cones, disks, or boxes) have been explored for their alternative inductive biases and additional representational capacities. In this work, we introduce Box Embeddings, a Python library that enables researchers to easily apply and extend probabilistic box embeddings.