aiqbench analysis
This research proposes a novel approach to non-binary constituency parsing by decoupling label prediction from arity specification, thereby reducing the action inventory in sequence-to-tree models. While experiments on PTB and CTB demonstrate that this factorization maintains high accuracy without collapsing higher-order branches, it introduces trade-offs in derivation length and sensitivity to delimiter boundary errors. The work offers a significant methodological refinement for natural language processing architectures aiming to optimize model complexity while preserving structural fidelity.
Non-binary bottom-up constituency parsing without arity actions
arXiv:2607.10591v2 Announce Type: replace Abstract: Non-binary bottom-up constituency parsing commonly uses arity-specific reductions such as \(\textsc{Reduce-}X\#k\), which jointly specify the mother label and number of children. We show that arity need not be a primitive transition parameter. The proposed parser predicts the mother label separately and identifies the ordered child sequence from a delimiter-bounded stack configuration. In every well-formed reducible configuration, the active delimiter, label marker, and intervening completed items uniquely determine the reduction domain and hence its arity. This factorization removes label--arity-specific reduction actions while preserving direct construction of the original non-binary trees. Controlled experiments on PTB and CTB show that the delimiter-guided parser closely tracks an arity-specific baseline while using a substantially smaller action inventory. Its predicted trees retain the gold branching profile without systematic collapse at higher arities. The smaller inventory is obtained at the cost of longer derivations and boundary-sensitive errors involving delimiter insertion, preservation, and consumption.
Abstract:Non-binary bottom-up constituency parsing commonly uses arity-specific reductions such as \(\textsc{Reduce-}X\#k\), which jointly specify the mother label and number of children. We show that arity need not be a primitive transition parameter. The proposed parser predicts the mother label separately and identifies the ordered child sequence from a delimiter-bounded stack configuration. In every well-formed reducible configuration, the active delimiter, label marker, and intervening completed items uniquely determine the reduction domain and hence its arity. This factorization removes label--arity-specific reduction actions while preserving direct construction of the original non-binary trees. Controlled experiments on PTB and CTB show that the delimiter-guided parser closely tracks an arity-specific baseline while using a substantially smaller action inventory. Its predicted trees retain the gold branching profile without systematic collapse at higher arities. The smaller inventory is obtained at the cost of longer derivations and boundary-sensitive errors involving delimiter insertion, preservation, and consumption.
Computation and Language (cs.CL)
arXiv:2607.10591 [cs.CL]
(or arXiv:2607.10591v2 [cs.CL] for this version)
https://doi.org/10.48550/arXiv.2607.10591 Focus to learn more arXiv-issued DOI via DataCite
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