Enriched dependency:PyBart Dependency Representation Enhancements: This enriches the syntactic Dependency Tree and you need less pattern matching or SemRegex
We introduce a broad-coverage, data-driven and linguistically sound set of transformations, that makes event-structure and many lexical relations explicit.
We present pyBART, an easy-to-use open-source Python library for converting English UD trees either to Enhanced UD graphs or to our representation. The library can work as a standalone package or be integrated within a spaCy NLP pipeline. When evaluated in a pattern-based relation extraction scenario, our representation results in higher extraction scores than Enhanced UD, while requiring fewer patterns
Enhanced UD vs PyBart Enriched syntax