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      Discontinuous Constituency Parsing with a Stack-Free Transition System and a Dynamic Oracle

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          Abstract

          We introduce a novel transition system for discontinuous constituency parsing. Instead of storing subtrees in a stack --i.e. a data structure with linear-time sequential access-- the proposed system uses a set of parsing items, with constant-time random access. This change makes it possible to construct any discontinuous constituency tree in exactly \(4n - 2\) transitions for a sentence of length \(n\). At each parsing step, the parser considers every item in the set to be combined with a focus item and to construct a new constituent in a bottom-up fashion. The parsing strategy is based on the assumption that most syntactic structures can be parsed incrementally and that the set --the memory of the parser-- remains reasonably small on average. Moreover, we introduce a provably correct dynamic oracle for the new transition system, and present the first experiments in discontinuous constituency parsing using a dynamic oracle. Our parser obtains state-of-the-art results on three English and German discontinuous treebanks.

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          Acceleration of Stochastic Approximation by Averaging

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            Simple and Accurate Dependency Parsing Using Bidirectional LSTM Feature Representations

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              Non-projective dependency parsing in expected linear time

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                Author and article information

                Journal
                01 April 2019
                Article
                1904.00615
                947fdf24-740c-4ed3-8b7d-8e448605c863

                http://arxiv.org/licenses/nonexclusive-distrib/1.0/

                History
                Custom metadata
                Accepted for publication at NAACL 2019; 14 pages
                cs.CL

                Theoretical computer science
                Theoretical computer science

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