Word Embeddings as Metric Recovery in Semantic Spaces

<jats:p> Continuous word representations have been remarkably useful across NLP tasks but remain poorly understood. We ground word embeddings in semantic spaces studied in the cognitive-psychometric literature, taking these spaces as the primary objects to recover. To this end, we relate log c...

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Bibliographic Details
Main Authors: Hashimoto, Tatsunori B, Alvarez-Melis, David, Jaakkola, Tommi S
Other Authors: Massachusetts Institute of Technology. Computer Science and Artificial Intelligence Laboratory
Format: Article
Language:English
Published: MIT Press - Journals 2021
Online Access:https://hdl.handle.net/1721.1/135063