[PDF] Top 20 Shift Reduce Dependency DAG Parsing
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Shift Reduce Dependency DAG Parsing
... further dependency arcs are created) in the de- velopment set, and therefore very low dependen- cy recall ...bottom-up shift-reduce dependency parsing for trees, using the parser ... See full document
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Encoder Decoder Shift Reduce Syntactic Parsing
... for parsing under various grammar formalisms, including dependency grammar (Dozat and Man- ning, 2017), constituent grammar (Dyer et ...based parsing, Chen and Manning (2014) em- ployed a ... See full document
10
Exploring beam based shift reduce dependency parsing with DyALog: Results from the SPMRL 2013 shared task
... One of the important and innovative sub-tasks of the SPMRL campaign was to parse ambiguous lattices using statistical methods. A word lattice is just a Di- rected Acyclic Graph (DAG) whose edges are deco- rated by ... See full document
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Fast and Accurate Shift Reduce Constituent Parsing
... (constituent) parsing also (Zhang and Clark, 2009), maintaining all the afore- mentioned ...structure parsing and dependency parsing is that for the former, parse trees with different numbers ... See full document
10
Bilingually Constrained (Monolingual) Shift Reduce Parsing
... Jointly parsing two languages has been shown to improve accuracies on either or both ...lingual parsing, where a source-language parser learns to exploit reorderings as ad- ditional observation, but not ... See full document
10
Neural Shift Reduce CCG Semantic Parsing
... Shift-reduce parsing is a class of parsing methods that guarantees a linear number of operations in sen- tence ...time dependency parsing (Chen and Manning, 2014; Dyer et ... See full document
12
Discontinuous Incremental Shift reduce Parsing
... PCFG parsing (Johnson, 2002; Dienes and Dubey, 2003; Jijkoun, 2003; Levy and Manning, 2004; Schmid, 2006; Cai et ...a dependency parser, given a reversible transformation from discontin- uous constituency ... See full document
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LSTM Shift-Reduce CCG Parsing
... crementally” following their post-order traversals. As such, the four unidirectional LSTMs always have the same number of steps; and at each step, the con- catenation of their hidden states (Eq. 3) represents a point in ... See full document
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Calculating the optimal step in shift reduce dependency parsing : from cubic to linear time
... for shift-reduce dependency pars- ing that is applicable on non-projective training ...of parsing, as long as the set of allowable transitions can be described in terms of a split context-free ... See full document
14
A Shift Reduce Dependency Parser Based on Reinforcement Learning
... new dependency parsing method based on the shift-reduce ...in shift-reduce as the agent ...in shift-reduce based method in dependency parsing ... See full document
8
Evaluating a Deterministic Shift Reduce Neural Parser for Constituent Parsing
... constituent parsing. This is a more challenging task compared with neural dependency parsing (Table ...a dependency parser, resulting in a large output layer for the neural ...neural ... See full document
5
Expected F Measure Training for Shift Reduce Parsing with Recurrent Neural Networks
... to parsing with RNN models, including using RNNs (Miikkulainen, 1996; Mayberry and Miikkulainen, 1999; Legrand and Collobert, 2015; Watanabe and Sumita, 2015) and LSTM (Hochreiter and Schmid- huber, 1997) RNNs ... See full document
11
Multilingual Deterministic Dependency Parsing Framework using Modified Finite Newton Method Support Vector Machines
... 2005), shift-reduce-based deterministic parsing (Yamada and Matsumoto, 2003; Chang et ...the shift-reduce methods were shown to be the most efficient method, which only costs at most ... See full document
7
Shift Reduce Constituency Parsing with Dynamic Programming and POS Tag Lattice
... Odd-Even Shift-Reduce CFG Parser One major challenge in constituency parsing is unary ...Unlike dependency parsing where shift- reduce always finishes in 2n−1 steps, ... See full document
6
Shift Reduce CCG Parsing using Neural Network Models
... Shift-reduce parsing is interesting for practical real- world applications like parsing the web, since pars- ing can be achieved in linear ...accurate parsing can be achieved using ... See full document
7
Two Phase Shift Reduce Deterministic Dependency Parser of Chinese
... The type of transition is determined by the top word of the stack, input word and their context. Most of the previous parsing models[4,12,13] use lexical words as features. Compared to Penn English Treebank, the ... See full document
6
Shift Reduce Constituent Parsing with Neural Lookahead Features
... for parsing, which has given competitive accura- cies for both constituency parsing (Dyer et ...and dependency parsing (Chen and Manning, 2014; Zhou et ... See full document
14
Shift Reduce CCG Parsing
... for dependency lengths 1 – ...the dependency length increases; there are 141, 180 and 124 dependencies from the gold-standard, C&C out- put and our shift-reduce parser output, ... See full document
10
A Shift Reduce Parsing Algorithm for Phrase based String to Dependency Translation
... the dependency features. For the bottom-up string-to-dependency system, we in- cluded both well-formed and ill-formed structures in chart ...the shift-reduce parsing model after ... See full document
10
Incremental Recurrent Neural Network Dependency Parser with Search based Discriminative Training
... a shift-reduce parsing architecture so that they can use search based decoding algorithms with effective pruning ...work shift-reduce parser, which is very fast but less accurate (see ... See full document
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