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Shib Dasgupta

2 accepted papers

2022

Word2Box: Capturing Set-Theoretic Semantics of Words using Box Embeddings

ACL 2022long

Learning representations of words in a continuous space is perhaps the most fundamental task in NLP, however words interact in ways much richer than vector dot product similarity can provide. Many relationships between words can be expressed set-theoretically, for example, adjective-noun compounds (…

2020

Improving Local Identifiability in Probabilistic Box Embeddings

NeurIPS 2020poster

Geometric embeddings have recently received attention for their natural ability to represent transitive asymmetric relations via containment. Box embeddings, where objects are represented by n-dimensional hyperrectangles, are a particularly promising example of such an embedding as they are closed…

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