Paper: Incremental Semantic Role Labeling with Tree Adjoining Grammar

ACL ID D14-1036
Title Incremental Semantic Role Labeling with Tree Adjoining Grammar
Venue Conference on Empirical Methods in Natural Language Processing
Session Main Conference
Year 2014
Authors

We introduce the task of incremental se- mantic role labeling (iSRL), in which se- mantic roles are assigned to incomplete input (sentence prefixes). iSRL is the semantic equivalent of incremental pars- ing, and is useful for language model- ing, sentence completion, machine trans- lation, and psycholinguistic modeling. We propose an iSRL system that combines an incremental TAG parser with a seman- tically enriched lexicon, a role propaga- tion algorithm, and a cascade of classi- fiers. Our approach achieves an SRL F- score of 78.38% on the standard CoNLL 2009 dataset. It substantially outper- forms a strong baseline that combines gold-standard syntactic dependencies with heuristic role assignment, as well as a baseline based on Nivre?s incremental de- pendency parser.