[PDF] Top 20 A Minimal Span Based Neural Constituency Parser
Has 10000 "A Minimal Span Based Neural Constituency Parser" found on our website. Below are the top 20 most common "A Minimal Span Based Neural Constituency Parser".
A Minimal Span Based Neural Constituency Parser
... to constituency parsing focused on rich modeling of correlations in the output space, typically by engineering proa- bilistic context-free grammars with state spaces enriched to capture long-distance dependencies ... See full document
10
A Dependency Perspective on RST Discourse Parsing and Evaluation
... the minimal semantic arguments of discourse relations, while constituent trees constitutes an upper ...compute constituency and dependency metrics, to get a better understanding of the differences between ... See full document
39
A Fast and Accurate Dependency Parser using Neural Networks
... use neural networks in a broad-coverage Penn Tree- bank parser, using a simple synchrony network to predict parse decisions in a constituency ...to constituency parsing and then (Garg and ... See full document
11
Neural Discontinuous Constituency Parsing
... stituency parser of this sort was presented in Vers- ley (2014), and it consists of a shift-reduce parser that handles discontinuities with swap ...This parser was very similar to dependency parsers ... See full document
11
Neural Constituency Parsing of Speech Transcripts
... We believe that the self-attention mechanism is especially useful for detecting disfluencies in a sentence. In pilot experiments we found that sim- ilar LSTM-based parsers, such as the AllenNLP parser ... See full document
10
TRANX: A Transition based Neural Abstract Syntax Parser for Semantic Parsing and Code Generation
... Extending T RANX for W IKI SQL In order to achieve strong results, existing parsers, like most models in Tab. 3, use specifically designed ar- chitectures to reflect the syntactic structure of SQL queries. We show that ... See full document
6
What’s Going On in Neural Constituency Parsers? An Analysis
... base parser still does have some output correlations captured by the enforcement of tree ...the parser where they are ...our parser, we can simply remove the tree constraint and independently make ... See full document
12
Soft Syntactic Constraints for Hierarchical Phrased Based Translation
... language parser and use it to provide constraints on the extraction of hierarchical phrase ...strict parser-based constituency requirements, they explore the use of phrases span- ning ... See full document
9
Linear time Constituency Parsing with RNNs and Dynamic Programming
... A span-based shift-reduce constituency parser (Cross and Huang, 2016) maintains a stack of spans (i, j), and progressively adds a new span each time it takes a shift or reduce ...the ... See full document
7
Robust Training under Linguistic Adversity
... is based on deep learning methods such as recurrent neural networks (Filippova et ...simple parser-based model, due to the lack of large-scale annotated data for training and the fact that a ... See full document
7
Incremental Recurrent Neural Network Dependency Parser with Search based Discriminative Training
... current neural network (RNN) that pre- dicts the actions for a fast and accurate shift-reduce dependency ...of parser ac- ...sulting parser is over 35 times faster than its generative counterpart ... See full document
11
Learning a Neural Semantic Parser from User Feedback
... time based on user feedback, and requires minimal interven- ...adapt neural se- quence models to map utterances directly to SQL with its full expressivity, bypass- ing any intermediate meaning ... See full document
11
Span Based Constituency Parsing with a Structure Label System and Provably Optimal Dynamic Oracles
... Except for the use of spans, this factored approach is similar to the odd-even parser from Mi and Huang (2015). The fact that stack elements do not have to be tree-structured, however, means that we can cre- ate ... See full document
11
Discriminative Training of a Neural Network Statistical Parser
... The parser which uses this approach outperforms both a genera- tive model and a discriminative model, achiev- ing state-of-the-art levels of performance ... See full document
8
SARDSRN: A NEURAL NETWORK SHIFT-REDUCE PARSER
... reduce parser in the following way: the network is trained to step through the parse (such as that in figure 1), generat- ing a compressed distributed representation of the top element of the stack at each step ... See full document
6
Straight to the Tree: Constituency Parsing with Neural Syntactic Distance
... chart- based models can incorporate structured loss func- tions during training and benefit from exact infer- ence via the CYK algorithm but suffer from higher computational cost during decoding (Durrett and ... See full document
10
A neural parser as a direct classifier for head final languages
... a neural net pars- ing model as the direct classifier to predict the attachment of phrasal units in a intuitive manner by exploiting grammatical knowledge and heuris- tics, and confirmed that the neural net ... See full document
9
An Empirical Study of Adequate Vision Span for Attention Based Neural Machine Translation
... NMT models. We adopt the same network ar- chitecture as word-based models in the English- Japanese task, unless the sentences in both sides are tokenized into characters. We keep 100 most frequent types of ... See full document
10
CLCL (Geneva) DINN Parser: a Neural Network Dependency Parser Ten Years Later
... transition-based neural network dependency parser (Titov and Henderson, 2007b), which was the University of Geneva’s entry in the CoNLL 2007 multilingual dependency parsing shared task (Titov and ... See full document
9
Transfer Learning for Constituency Based Grammars
... a parser for the target formalism (Hockenmaier and Steedman, 2002; Clark and Curran, 2003; Miyao et ...CFG parser into the target for- malism (Cahill et ... See full document
11
Related subjects