Squibs: When the Whole Is Less Than the Sum of Its Parts: How Composition Affects PMI Values in Distributional Semantic Vectors - ACL Anthology

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Squibs: When the Whole Is Less Than the Sum of Its Parts: How Composition Affects PMI Values in Distributional Semantic Vectors

Denis Paperno, Marco Baroni

Anthology ID:: J16-2006
Volume:: Computational Linguistics, Volume 42, Issue 2 - June 2016
Month:: June
Year:: 2016
Address:: Cambridge, MA
Venue:: CL
SIG:
Publisher:: MIT Press
Note:
Pages:: 345–350
Language:
URL:: https://aclanthology.org/J16-2006
DOI:: 10.1162/COLI_a_00250
Bibkey:
Cite (ACL):: Denis Paperno and Marco Baroni. 2016. Squibs: When the Whole Is Less Than the Sum of Its Parts: How Composition Affects PMI Values in Distributional Semantic Vectors. Computational Linguistics, 42(2):345–350.
Cite (Informal):: Squibs: When the Whole Is Less Than the Sum of Its Parts: How Composition Affects PMI Values in Distributional Semantic Vectors (Paperno & Baroni, CL 2016)
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PDF:: https://preview.aclanthology.org/ml4al-ingestion/J16-2006.pdf