Towards Referential Transparent Annotations of Quantified Noun Phrases

Andy Luecking


Abstract
Using recent developments in count noun quantification, namely Referential Transparency Theory (RTT), the basic structure for annotating quantification in the nominal domain according to RTT is presented. The paper discusses core ideas of RTT, derives the abstract annotation syntax, and exemplifies annotations of quantified noun phrases partly in comparison to QuantML.
Anthology ID:
2023.isa-1.7
Volume:
Proceedings of the 19th Joint ACL-ISO Workshop on Interoperable Semantics (ISA-19)
Month:
June
Year:
2023
Address:
Nancy, France
Editor:
Harry Bunt
Venues:
ISA | WS
SIG:
SIGSEM
Publisher:
Association for Computational Linguistics
Note:
Pages:
47–55
Language:
URL:
https://aclanthology.org/2023.isa-1.7
DOI:
Bibkey:
Cite (ACL):
Andy Luecking. 2023. Towards Referential Transparent Annotations of Quantified Noun Phrases. In Proceedings of the 19th Joint ACL-ISO Workshop on Interoperable Semantics (ISA-19), pages 47–55, Nancy, France. Association for Computational Linguistics.
Cite (Informal):
Towards Referential Transparent Annotations of Quantified Noun Phrases (Luecking, ISA-WS 2023)
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PDF:
https://preview.aclanthology.org/emnlp-22-attachments/2023.isa-1.7.pdf