[PDF] Top 20 Transition based Spinal Parsing
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Transition based Spinal Parsing
... call spinal trees. In a spinal tree (see Figure 1 for an example), each token is associated with a spine of constituents, and head-modifier dependencies are attached to nodes in the spine, thus combin- ing ... See full document
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Improved Transition Based Parsing and Tagging with Neural Networks
... Results. The contributions of our new features for pipelined arc-standard parsing are shown in Ta- ble 1. Morphology features (+morph) contributed a labeled accuracy score (LAS) gain of 2.9% in Czech, 1.5% in ... See full document
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A Tabular Method for Dynamic Oracles in Transition Based Parsing
... canonical transition for each configuration) and no error exploration is performed; nondet, in which we use a nondeterministic partial oracle (Sartorio et ...which transition to take in case of spurious ... See full document
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Transition based DRS Parsing Using Stack LSTMs
... Anyone who complains about arguing over “semantics” has never seen how boring it can be to argue over syntax. —isaacs (@izs). 2013-07-05. Tweet. A spectrum is haunting semantic parsing—the spectrum ranging from ... See full document
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Association Metrics in Neural Transition Based Dependency Parsing
... neural transition-based dependency parser of De Kok and Hinrichs (2016) serves as the baseline for the ...pseudo-projective parsing (Nivre and Nilsson, 2005) and was trained on the shuffled TüBa-D/Z ... See full document
9
Dependency Language Models for Transition based Dependency Parsing
... dependency parsing by Kawahara and Uchimoto (2008) and Yu et ...dency parsing need an additional selection step to predict high-quality parsed sentences for retrain- ... See full document
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Tree Stack LSTM in Transition Based Dependency Parsing
... Recent studies in neural dependency parsing cre- ates an opportunity to learn feature conjunctions only from primitive features.(Chen and Manning, 2014) A designer only needs to extract primitive features which ... See full document
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Transition Based Parsing for Deep Dependency Structures
... data-driven, transition-based approach, which has achieved great success for tree parsing, to build general dependency ...new transition systems that can generate arbitrary directed graphs in ... See full document
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Hierarchical Pointer Net Parsing
... and transition-based depen- dency parsers with a Bi-LSTM feature represen- ...labels based on graph-based model, and achieved state-of-the-art ...Though transition-based meth- ... See full document
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Improving Transition Based Dependency Parsing with Buffer Transitions
... buffer transition removes a node from the buffer, no more than n such transitions can be executed for a sentence of length n, so adding these transitions cannot increase the complexity of a ... See full document
12
A Bayesian Model for Generative Transition based Dependency Parsing
... In the generative process a shift transition is fol- lowed by a sequence of 0 or more reduce tran- sitions. This is repeated until all the words have been generated and a terminal configuration of the parser has ... See full document
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Transition based Parsing with Lighter Feed Forward Networks
... OSTAG , FEATS and DEPREL features it is set to 20. Given an input configuration, the final dimension of the input vector is 1860: 540 dimensions from directly accessible nodes in σ and β, 880 dimen- sions corresponding ... See full document
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Dynamic oracle Transition based Parsing with Calibrated Probabilistic Output
... In transition-based parsing, the parsing task is viewed as performing a series of actions, which re- sult in an incremental construction of a ...the parsing process, a classification ... See full document
9
Stack based Multi layer Attention for Transition based Dependency Parsing
... dependency parsing is that structural lin- guistic information, which plays a key role in clas- sic transition-based or graph-based dependency parsing models, cannot be explicitly ... See full document
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Universal Dependency Parsing with a General Transition Based DAG Parser
... Enhanced dependencies. Our method treats en- hanced dependencies 1 as part of the dependency graph, providing the first approach, to our knowl- edge, for supervised learning of enhanced UD parsing. Due to the ... See full document
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Rewarding Smatch: Transition Based AMR Parsing with Reinforcement Learning
... AMR parsing thus requires solving several natural lan- guage processing tasks; named entity recognition, word sense disambiguation and joint syntactic and semantic role ...AMR parsing has acquired a lot of ... See full document
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Generalized Transition based Dependency Parsing via Control Parameters
... many transition- based systems can be constructed via composition of these base ...easy-first parsing. In partic- ular, arc construction in easy-first parsing can be seen as an action composed ... See full document
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Structured Training for Neural Network Transition Based Parsing
... In transition-based pars- ing, sentences are processed in a linear left to right pass; at each position, the parser needs to choose from a set of possible actions defined by the transition ...take ... See full document
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Global Transition based Non projective Dependency Parsing
... Daniel Zeman, Martin Popel, Milan Straka, Jan Ha- jic, Joakim Nivre, Filip Ginter, Juhani Luotolahti, Sampo Pyysalo, Slav Petrov, Martin Potthast, Fran- cis Tyers, Elena Badmaeva, Memduh Gokirmak, Anna Nedoluzhko, Silvie ... See full document
12
Greedy Transition Based Dependency Parsing with Stack LSTMs
... paying attention to the expected classifier behavior during test time has been explored under the imitation learning and Learning to Search (SEARN) frameworks (Abbeel and Ng 2004; Daum´e III and Marcu 2005; Vlachos 2012; ... See full document
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