2023
ACL
ACL 2023
Annotating Decomposition in Time: Three Approaches for Again
Abstract
AbstractThis 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.
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Interdisciplinary Bridge
- Artificial Intelligence and Natural Language Processing