[PDF] Top 20 Greedy Transition Based Dependency Parsing with Stack LSTMs
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Greedy Transition Based Dependency Parsing with Stack LSTMs
... strong stack LSTM parser, although some care had to be taken to adapt the training procedures to the probabilistic nature of the objective, and to the high accuracy levels of the underlying ... See full document
37
Bidirectional Transition-Based Dependency Parsing
... Dependency parsing is a task with a long history in natu- ral language ...of dependency parsing is to discover syntactic relations among words in a ...sentence. Dependency trees have ... See full document
8
Transition based Dependency Parsing with Selectional Branching
... Figure 5 shows the total number of transitions per- formed during decoding with respect to beam sizes on the English development set (1,700 sentences, 40,117 tokens). With selectional branching, the number of transitions ... See full document
11
Transition based dependency parsing as latent variable constituent parsing
... the stack counts from the top downward ...MaltParser dependency links can be attached to the first token in the re- maining input, whereas our automata would first have to transfer such a token to the ... See full document
11
Transition Based Dependency Parsing with Heuristic Backtracking
... Heuristic backtracking with cutoff outperformed greedy decoding, and reduced transitions by an addi- tional 50%. However, it increased accuracy slightly less than full heuristic backtracking. We believe this ... See full document
6
Transition based dependency parsing as latent variable constituent parsing
... the stack counts from the top downward ...MaltParser dependency links can be attached to the first token in the re- maining input, whereas our automata would first have to transfer such a token to the ... See full document
11
Transition based dependency parsing with topological fields
... Since transition-based dependency parsers pro- cess sentences in one deterministic linear-time left-to-right sweep, the classifier typically has lit- tle global ... See full document
7
AMR Parsing using Stack LSTMs
... language parsing (Yamada and Matsumoto, 2003; Nivre, 2003, 2004, 2008) are formulated as a series of decisions that read words from a buffer and incre- mentally combine them to form syntactic struc- tures in a ... See full document
7
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
Effective Greedy Inference for Graph based Non Projective Dependency Parsing
... Ensemble Approaches Finally, several previous works combined dependency parsers. These include Nivre and McDonald (2008) who used the output of one parser to provide features for another, Zhang and Clark (2008) ... See full document
10
Transition Based Dependency Parsing with Stack Long Short Term Memory
... Chinese parsing task, which in which we un- derperform their baseline (which used gold POS tags), although we do still obtain reasonable pars- ing performance in this limited ...of parsing sentences ... See full document
10
Stack Pointer Networks for Dependency Parsing
... Transition-based dependency parsers read words sequentially (commonly from left-to-right) and build dependency trees incrementally by making series of multiple choice ...is based on ... See full document
12
A Bayesian Model for Generative Transition based Dependency Parsing
... the stack are the most important, but insufficient – second-order dependencies and further elements on the stack should also be in- cluded in the ...elements based on their importance in the ...in ... See full document
10
Global Transition based Non projective Dependency Parsing
... terpretation under the “push computation” frame- work, yielding the arc-hybrid projective transi- tion system. However, such a derivation has not been made for the non-projective case (k ą 3), and the known techniques ... See full document
12
Easy First Dependency Parsing with Hierarchical Tree LSTMs
... of parsing with vector representations, there are four dominant approaches: search based parsers that use local features that are fed to a neural-network classifier (Pei et ...2015); greedy ... See full document
18
Improved Transition based Parsing by Modeling Characters instead of Words with LSTMs
... and parsing, while Chars requires 450 ...include greedy transition-based parsers that, like ours, do not apply a beam search (Zhang and Clark, 2008b) or a dynamic oracle (Goldberg and Nivre, ... See full document
11
Tree Stack LSTM in Transition Based Dependency Parsing
... and transition sys- tem with our ...al. based on hand- crafted feature selection from state, ...tree- stack LSTM only needs raw features and previous parsing ... See full document
9
Transition Based Parsing for Deep Dependency Structures
... for transition classification and use a beam decoder for global ...namely, transition combination and tree approximation, to improve parsing ...the stack nor buffer in a configuration: Only ... See full document
37
Arc Standard Spinal Parsing with Stack LSTMs
... neural transition sys- tems for parsing sentences into dependency trees (Titov and Henderson, 2007; Chen and Manning, 2014; Dyer et ...These transition systems use a relatively simple set of ... See full document
7
Greedy, Joint Syntactic Semantic Parsing with Stack LSTMs
... SRL based on dynamic programming and their lo- cal and structured models make use of many syn- tactic features from a pipeline; our search pro- cedure is ... See full document
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