Constituency Parsing
Constituency parsing is a natural-language-processing task that represents a sentence as a tree of recursively nested phrase-structure constituents — for example S → NP + VP. Building on the head-driven statistical parsing models introduced by Collins (2003) and the later neural parsers of Kitaev and colleagues (2019), it exposes the hierarchical syntactic skeleton of a sentence for grammatical pattern extraction and grammar research.
Source record
Citations copied verbatim from the method’s source record. No claim-level verification is inferred from them.
- Collins, M. (2003). Head-Driven Statistical Models for Natural Language Parsing. Computational Linguistics, 29(4), 589-637. · DOI 10.1162/089120103322753356
- Kitaev, N., Cao, S. & Klein, D. (2019). Multilingual Constituency Parsing with Self-Attention and Pre-Training. Proceedings of ACL. · DOI 10.18653/v1/P19-1340
Curated claims
Claims persisted in the evidence ledger, each with its own assessment.
This view does not invent a claim assessment when the ledger has none.
Related methods
Generated from the method graph and shown as machine-suggested relations — no evidence claim is inferred.