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...
Main Authors: | Hashimoto, Tatsunori B, Alvarez-Melis, David, Jaakkola, Tommi S |
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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 |
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