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Title: AutoAspect: Automatic Annotation of Tense and Aspect for Uniform Meaning Representations
We present AutoAspect, a novel, rule-based annotation tool for labeling tense and aspect. The pilot version annotates English data. The aspect labels are designed specifically for Uniform Meaning Representations (UMR), an annotation schema that aims to encode crosslingual semantic information. The annotation tool combines syntactic and semantic cues to assign aspects on a sentence-by-sentence basis, following a sequence of rules that each output a UMR aspect. Identified events proceed through the sequence until they are assigned an aspect. We achieve a recall of 76.17% for identifying UMR events and an accuracy of 62.57% on all identified events, with high precision values for 2 of the aspect labels.  more » « less
Award ID(s):
1764048
PAR ID:
10348147
Author(s) / Creator(s):
; ;
Editor(s):
Claire Bonial, Nianwen Xue
Date Published:
Journal Name:
Proceedings of The Joint 15th Linguistic Annotation Workshop (LAW) and 3rd Designing Meaning Representations (DMR) Workshop
Page Range / eLocation ID:
36 to 45
Format(s):
Medium: X
Sponsoring Org:
National Science Foundation
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