Made for Each Other: Broad-coverage Semantic Structures Meet Preposition Supersenses
This work addresses a gap in semantic annotation for NLP researchers, though it is incremental as it builds on existing schemes.
The paper tackled the lack of semantic roles in the UCCA annotation scheme by integrating lexicon-free preposition supersense annotation, showing empirically that the schemes are compatible and can be combined into a single semantic graph for English.
Universal Conceptual Cognitive Annotation (UCCA; Abend and Rappoport, 2013) is a typologically-informed, broad-coverage semantic annotation scheme that describes coarse-grained predicate-argument structure but currently lacks semantic roles. We argue that lexicon-free annotation of the semantic roles marked by prepositions, as formulated by Schneider et al. (2018b), is complementary and suitable for integration within UCCA. We show empirically for English that the schemes, though annotated independently, are compatible and can be combined in a single semantic graph. A comparison of several approaches to parsing the integrated representation lays the groundwork for future research on this task.