Parsing conjunctions in DisCoCirc

Tiffany Duneau


Abstract
In distributional compositional models of meaning logical words require special interpretations, that specify the way in which other words in the sentence interact with each other. So far within the DisCoCat framework, conjunctions have been implemented as merging both conjuncts into a single output, however in the new framework of DisCoCirc merging between nouns is no longer possible. We provide an account of conjunction and an interpretation for the word ‘and’ that solves this, and moreover ensures certain intuitively similar sentences can be given the same interpretations.
Anthology ID:
2021.semspace-1.7
Volume:
Proceedings of the 2021 Workshop on Semantic Spaces at the Intersection of NLP, Physics, and Cognitive Science (SemSpace)
Month:
June
Year:
2021
Address:
Groningen, The Netherlands
Editors:
Martha Lewis, Mehrnoosh Sadrzadeh
Venue:
SemSpace
SIG:
SIGSEM
Publisher:
Association for Computational Linguistics
Note:
Pages:
66–75
Language:
URL:
https://aclanthology.org/2021.semspace-1.7
DOI:
Bibkey:
Cite (ACL):
Tiffany Duneau. 2021. Parsing conjunctions in DisCoCirc. In Proceedings of the 2021 Workshop on Semantic Spaces at the Intersection of NLP, Physics, and Cognitive Science (SemSpace), pages 66–75, Groningen, The Netherlands. Association for Computational Linguistics.
Cite (Informal):
Parsing conjunctions in DisCoCirc (Duneau, SemSpace 2021)
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PDF:
https://aclanthology.org/2021.semspace-1.7.pdf
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 2021.semspace-1.7.Attachment.zip