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

04/01/2019
by   Maximin Coavoux, et al.
0

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.

READ FULL TEXT
research
02/24/2019

Unlexicalized Transition-based Discontinuous Constituency Parsing

Lexicalized parsing models are based on the assumptions that (i) constit...
research
12/20/2016

Span-Based Constituency Parsing with a Structure-Label System and Provably Optimal Dynamic Oracles

Parsing accuracy using efficient greedy transition systems has improved ...
research
03/30/2020

Span-based discontinuous constituency parsing: a family of exact chart-based algorithms with time complexities from O(n^6) down to O(n^3)

We introduce a novel chart-based algorithm for span-based parsing of dis...
research
05/14/2018

A Dynamic Oracle for Linear-Time 2-Planar Dependency Parsing

We propose an efficient dynamic oracle for training the 2-Planar transit...
research
09/21/2020

Multitask Pointer Network for Multi-Representational Parsing

We propose a transition-based approach that, by training a single model,...
research
12/23/2022

Neural Transition-based Parsing of Library Deprecations

This paper tackles the challenging problem of automating code updates to...
research
10/20/2020

Supertagging-based Parsing with Linear Context-free Rewriting Systems

We present the first supertagging-based parser for LCFRS. It utilizes ne...

Please sign up or login with your details

Forgot password? Click here to reset