Annotating Decomposition in Time: Three Approaches for Again

Martin Kopf, Remus Gergel


Abstract
This submission reports on a three-part series of original methods geared towards producing semantic annotations for the decompositional marker “again”. The three methods are (i) exhaustive expert annotation based on a comprehensive set of guidelines, (ii) extension of expert annotation by predicting presuppositions with a Multinomial Naïve Bayes classifier in the context of a meta-analysis to optimize feature selection and (iii) quality-controlled crowdsourcing with ensuing evaluation and KMeans clustering of annotation vectors.
Anthology ID:
2023.law-1.13
Volume:
Proceedings of the 17th Linguistic Annotation Workshop (LAW-XVII)
Month:
July
Year:
2023
Address:
Toronto, Canada
Editors:
Jakob Prange, Annemarie Friedrich
Venue:
LAW
SIG:
Publisher:
Association for Computational Linguistics
Note:
Pages:
129–135
Language:
URL:
https://aclanthology.org/2023.law-1.13
DOI:
10.18653/v1/2023.law-1.13
Bibkey:
Cite (ACL):
Martin Kopf and Remus Gergel. 2023. Annotating Decomposition in Time: Three Approaches for Again. In Proceedings of the 17th Linguistic Annotation Workshop (LAW-XVII), pages 129–135, Toronto, Canada. Association for Computational Linguistics.
Cite (Informal):
Annotating Decomposition in Time: Three Approaches for Again (Kopf & Gergel, LAW 2023)
Copy Citation:
PDF:
https://aclanthology.org/2023.law-1.13.pdf