[PDF] Top 20 Dependency Language Models for Transition based Dependency Parsing
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Dependency Language Models for Transition based Dependency Parsing
... features based on frequencies with the ba- sic first-/second-order ...features based on the statistics learned from unlabeled data to a weak first-order parser and they achieved ... See full document
7
Tree Stack LSTM in Transition Based Dependency Parsing
... in transition based dependency parsing ...for dependency parsing. All of our work is done in transition based dependency parsing, which sacrifices ... See full document
9
Greedy Transition Based Dependency Parsing with Stack LSTMs
... Language model word embeddings were generated from the AFE portion of the English Gigaword corpus (version 5), and from the complete Chinese Gigaword corpus (version 2), as segmented by the Stanford Chinese ... See full document
37
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
Getting the Most out of Transition based Dependency Parsing
... the parsing complexity from O(n 2 ) to linear time in practice (a worst-case complexity is O(n 2 ...another transition-based parsing ap- proach that reduces the search space even ... See full document
6
Association Metrics in Neural Transition Based Dependency Parsing
... without dependency relations as ...from dependency em- ...the dependency relation, could be retrieved from the context matrix, 3) an embedding for the context token could be retrieved from the focus ... See full document
9
Global Transition based Non projective Dependency Parsing
... for models that support arbitrary non- projectivity, except under strong independence as- sumptions (McDonald and Satta, ...pseudo-projective parsing (Kahane et ...of dependency trees that allow only ... See full document
12
A Bayesian Model for Generative Transition based Dependency Parsing
... Unlexicalised parsing gives us a strong baseline ...Unlexicalised parsing is also consid- ered to be robust for applications such as cross- lingual parsing (McDonald et ... See full document
10
Viable Dependency Parsing as Sequence Labeling
... a transition-based algorithm that uses a stack data structure instead of plain sequence la- beling without explicit representation of structure, and (2) the best hyperparameters used by G´omez- Rodr´ıguez ... See full document
7
Transition based Dependency DAG Parsing Using Dynamic Oracles
... Since left attach and right attach operations do not change the parser configuration (i.e. these op- erations cannot lead to a parser configuration from which the gold tree is not reachable), their cost is measured ... See full document
6
Universal Dependency Parsing with a General Transition Based DAG Parser
... ral transition-based DAG parser, which we use to present the first experiments on recovering enhanced dependencies as part of the general parsing ...for parsing UCCA, a cross- linguistic ... See full document
10
Transition based Dependency Parsing with Rich Non local Features
... typical transition-based parsing process, the in- put words are put into a queue and partially built structures are organized by a ...jective dependency trees in an arc-eager (Nivre et ... See full document
6
A Transition Based Dependency Parser Using a Dynamic Parsing Strategy
... by the length n of the input sentence. Since the parser applies exactly 2n + 1 transitions, worst case running time is O (n 2 ). We have computed the average value of γ on our English data set, resulting in 2.98 ... See full document
10
Generalized Transition based Dependency Parsing via Control Parameters
... The instantiation of the transition system consists of setting the capacity K and distance D as well as the transition control parameters. In order to make the comparison clearer, we will define typical ... See full document
11
Multi Task Semantic Dependency Parsing with Policy Gradient for Learning Easy First Strategies
... train transition-based parsers with reinforcement learn- ing: Zhang and Chan (2009) applied SARSA (Baird III, 1999) to an Arc-Standard model, us- ing SARSA updates to fine-tune a model that was pre-trained ... See full document
11
Extracting Narrative Timelines as Temporal Dependency Structures
... temporal language in a text often fails to specify a total ordering over all the events, so we annotate the timelines as tem- poral dependency structures, where each event is a node in the dependency ... See full document
10
A Shift Reduce Parsing Algorithm for Phrase based String to Dependency Translation
... -gram language models becomes more expensive because they have to maintain target boundary words at both ends of a partial trans- lation (Chiang, 2007; Huang and Chiang, ... See full document
10
Transition Based Parsing for Deep Dependency Structures
... various dependency struc- tures. Particularly, bilexical deep dependency structures beyond surface tree representation can be derived from linguistic analysis grounded by CCG, LFG, and ...these ... See full document
37
Transition based Dependency Parsing with Selectional Branching
... Greedy transition-based dependency parsing has been widely deployed because of its speed (Cer et ...multiple transition sequences given a sentence, and pick one with the highest ... See full document
11
Transition based dependency parsing with topological fields
... To evaluate the effectiveness of adding topo- logical fields to the input, we use the publicly available neural network parser described by De Kok (2015). This parser uses an architecture that is similar to that of Chen ... See full document
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