[PDF] Top 20 Generalized Transition based Dependency Parsing via Control Parameters
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Generalized Transition based Dependency Parsing via Control Parameters
... new transition systems attempted to handle phenomena not covered by arc-eager or arc-standard transition systems, which inher- ently could only produce projective dependency ...derived ... See full document
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Transition based dependency parsing as latent variable constituent parsing
... on dependency parsing has a strong emphasis on parsing ...constituent parsing (Lavie and Tomita, 1993; Goodman, 1997; Cara- ballo and Charniak, ...Deterministic parsing algorithms for ... See full document
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Greedy Transition Based Dependency Parsing with Stack LSTMs
... greedy transition-based parser that learns to represent parser states using recurrent neural ...new control structure for sequential neural networks—the stack long short-term memory unit ...in ... See full document
37
A Transition Based Dependency Parser Using a Dynamic Parsing Strategy
... in parsing, predating empirical ...discourse parsing, where right spines are usually called right frontiers; see for instance Subba and Di Eugenio ...of transition-based dependency ... See full document
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A Transition based System for Universal Dependency Parsing
... In the Known Language Parser, the first step is to tokenize the input raw text, generating the basic units for later processing. We train tokenizers for all the languages using UDPipe, including those ones which are ... See full document
7
Transition Based Parsing for Deep Dependency Structures
... essentially based on the parsing results given a large-scale linguistically precise HPSG grammar, namely, LingGO English resource grammar (ERG; Flickinger 2000), and manually ...bilexical dependency ... See full document
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Transition based Dependency Parsing with Selectional Branching
... The algorithm takes three hyper-parameters; T is the number of iterations, α is the learning rate, and ρ is the ridge (T > 0, α > 0, ρ ≥ 0). G is our run- ning estimate of a diagonal covariance matrix for ... See full document
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Universal Dependency Parsing with a General Transition Based DAG Parser
... conjunction, control, raising and rel- ative clauses, provide richer information to down- stream semantic applications, making UD better suited for text ... See full document
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Fast(er) Exact Decoding and Global Training for Transition Based Dependency Parsing via a Minimal Feature Set
... and §23 for testing; POS tags were predicted using 10-way jackknifing with the Stanford max entropy tagger (Toutanova et al., 2003). For Chinese, we used the Penn Chinese Treebank 5.1 (Xue et al., 2002, CTB), with the ... See full document
12
Transition based Dependency Parsing with Rich Non local Features
... the generalized percep- tron (Collins, 2002) for global learning and beam- search for ...unlabeled parsing, we perform labeled parsing by augmenting the LeftArc and RightArc actions with the set of ... See full document
6
Transition Based Dependency Parsing with Stack Long Short Term Memory
... in transition- based dependency ...new control structure for sequence-to-sequence neural networks— the stack ...in transition- based parsing, elements can be pushed to or ... See full document
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Stack based Multi layer Attention for Transition based Dependency Parsing
... tactic parsing. For dependency parsing, one line of research aims to incrementally integrate dis- tributed word representations into classic depen- dency parsing (Chen and Manning, 2014; Weiss ... See full document
6
Transition based Dependency DAG Parsing Using Dynamic Oracles
... art parsing performances with a language agnostic approach on the different syntactic structures of different languages (Buchholz and Marsi, ...data-driven dependency parsers can be catego- rized into two ... See full document
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Arc Standard Spinal Parsing with Stack LSTMs
... In a spinal tree each token is associated with a spine. The spine of a token is a (possibly empty) vertical sequence of non-terminal nodes for which the token is the head word. A spinal dependency is a binary ... See full document
7
Hierarchical Pointer Net Parsing
... both dependency and discourse parsing ...dency parsing, our model outperforms in most of the ...discourse parsing, we push for- ward the state-of-the-art in all evaluation ... See full document
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Sentence Level Instance Weighting for Graph Based and Transition Based Dependency Parsing
... Transition-based parsing reduces the problem of finding the most likely dependency tree for a sen- tence to a series of classification problems by see- ing parsing as transitions ... See full document
5
Association Metrics in Neural Transition Based Dependency Parsing
... for dependency triples h − → r d from the German newspaper taz ...All dependency triples not contained in the table are mapped to the most neutral value of ...the dependency embeddings described in ... See full document
9
A Neural Probabilistic Structured Prediction Model for Transition Based Dependency Parsing
... A transition-based greedy neural parser has given better accuracies over its lin- ear ...for transition-based dependency parsing, which integrates search and ... See full document
10
Improving Transition Based Dependency Parsing with Buffer Transitions
... First, we show how adding a specific tran- sition to create either a left or right arc of length one between the first two buffer nodes produces improvements in the accuracy of Nivre’s arc-eager projective parser on a ... See full document
12
Distilling Knowledge for Search based Structured Prediction
... the transition- based dependency parsing and neural machine translation experiments and plot the model’s per- formance on development sets in Figure ...the dependency parsing ... See full document
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